Triple
T15839372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RXTE |
E384061
|
entity |
| Predicate | instruments |
P119858
|
FINISHED |
| Object |
Proportional Counter Array
The Proportional Counter Array was a high-sensitivity X-ray detector on NASA’s Rossi X-ray Timing Explorer (RXTE) satellite, designed to study rapid variability and spectra of cosmic X-ray sources.
|
E1179676
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Proportional Counter Array | Statement: [RXTE, instruments, Proportional Counter Array]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Proportional Counter Array Context triple: [RXTE, instruments, Proportional Counter Array]
-
A.
Anti-Coincidence System
The Anti-Coincidence System is a detector subsystem used in gamma-ray astronomy instruments to identify and reject background charged particles, improving the accuracy of high-energy photon measurements.
-
B.
Silicon Drift Detector
A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
-
C.
Radiation Assessment Detector
The Radiation Assessment Detector is a scientific instrument aboard NASA's Curiosity rover designed to measure and characterize the radiation environment on Mars and during the journey through space.
-
D.
Medipix2 readout chip
The Medipix2 readout chip is a pixelated semiconductor detector ASIC developed at CERN that enables high-resolution, single-photon counting and energy-sensitive imaging for applications in particle physics, medical imaging, and material science.
-
E.
MPPC
MPPC, short for the Motion Picture Patents Company, was an early 20th-century American film trust that sought to control the motion picture industry through patent pooling and licensing.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Proportional Counter Array Triple: [RXTE, instruments, Proportional Counter Array]
Generated description
The Proportional Counter Array was a high-sensitivity X-ray detector on NASA’s Rossi X-ray Timing Explorer (RXTE) satellite, designed to study rapid variability and spectra of cosmic X-ray sources.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Proportional Counter Array Target entity description: The Proportional Counter Array was a high-sensitivity X-ray detector on NASA’s Rossi X-ray Timing Explorer (RXTE) satellite, designed to study rapid variability and spectra of cosmic X-ray sources.
-
A.
Anti-Coincidence System
The Anti-Coincidence System is a detector subsystem used in gamma-ray astronomy instruments to identify and reject background charged particles, improving the accuracy of high-energy photon measurements.
-
B.
Silicon Drift Detector
A Silicon Drift Detector is a type of semiconductor radiation detector that uses lateral electric fields to drift charge carriers to a small collecting anode, enabling high energy resolution and fast, low-noise signal readout in applications such as particle tracking and X-ray spectroscopy.
-
C.
Radiation Assessment Detector
The Radiation Assessment Detector is a scientific instrument aboard NASA's Curiosity rover designed to measure and characterize the radiation environment on Mars and during the journey through space.
-
D.
Medipix2 readout chip
The Medipix2 readout chip is a pixelated semiconductor detector ASIC developed at CERN that enables high-resolution, single-photon counting and energy-sensitive imaging for applications in particle physics, medical imaging, and material science.
-
E.
MPPC
MPPC, short for the Motion Picture Patents Company, was an early 20th-century American film trust that sought to control the motion picture industry through patent pooling and licensing.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: instruments Context triple: [RXTE, instruments, Proportional Counter Array]
-
A.
musicInstrumentation
Indicates the specific instruments or instrumental forces used to perform a piece of music.
-
B.
instrument
Indicates that an action is carried out using a particular tool, means, or implement as its instrument.
-
C.
playedInstrument
Indicates that an entity performed or used a particular musical instrument.
-
D.
notableInstrument
Indicates that an entity is especially known for playing or being associated with a particular musical instrument.
-
E.
instrumentalIn
Indicates that one entity serves as a crucial means, tool, or contributing factor in bringing about an outcome or enabling another entity’s action or effect.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e142e4fa24819086a1a226082ac2d3 |
completed | April 16, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13c931481908ed9fd10fddd867c |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa419c6dc81908c9678f8434530f8 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa4cff5088190a7f11fd62941f4fb |
completed | May 9, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e005418f588190824d91ff7974dada |
completed | April 15, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69e007647f908190adb178c68c7bb7cf |
completed | April 15, 2026, 9:47 p.m. |
Created at: April 10, 2026, 4:49 a.m.