Triple
T1274770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Horizons |
E15788
|
entity |
| Predicate | instrument |
P792
|
FINISHED |
| Object |
PEPSSI
PEPSSI is a particle spectrometer aboard NASA’s New Horizons spacecraft designed to measure energetic ions and electrons in the outer solar system.
|
E145773
|
NE FINISHED |
How this triple was built (4 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: PEPSSI | Statement: [New Horizons, instrument, PEPSSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEPSSI Context triple: [New Horizons, instrument, PEPSSI]
-
A.
PEPs
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
B.
PSI
PSI is the acronym commonly used for the Italian Socialist Party, a historic socialist political party in Italy.
-
C.
PPAS
PPAS is a New York City public school specializing in rigorous academic education combined with intensive training in the performing arts for middle and high school students.
-
D.
PEPM
PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
-
E.
PASP
PASP is the NATO Political Affairs and Security Policy Division, responsible for developing and coordinating the Alliance’s political and security policies.
- 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: PEPSSI Triple: [New Horizons, instrument, PEPSSI]
Generated description
PEPSSI is a particle spectrometer aboard NASA’s New Horizons spacecraft designed to measure energetic ions and electrons in the outer solar system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PEPSSI Target entity description: PEPSSI is a particle spectrometer aboard NASA’s New Horizons spacecraft designed to measure energetic ions and electrons in the outer solar system.
-
A.
PEPs
PEPs are formal design documents that propose and describe new features, processes, or changes for the Python programming language and its community.
-
B.
PSI
PSI is the acronym commonly used for the Italian Socialist Party, a historic socialist political party in Italy.
-
C.
PPAS
PPAS is a New York City public school specializing in rigorous academic education combined with intensive training in the performing arts for middle and high school students.
-
D.
PEPM
PEPM (Partial Evaluation and Program Manipulation) is an ACM SIGPLAN-sponsored symposium focused on research in program analysis, transformation, and generation techniques.
-
E.
PASP
PASP is the NATO Political Affairs and Security Policy Division, responsible for developing and coordinating the Alliance’s political and security policies.
- F. None of above. chosen
Provenance (5 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_69a4935a94308190bb92555b79032824 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4c06ee22081908141868b57596e35 |
completed | March 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aca2f49a98819083dacff7e76ad195 |
completed | March 7, 2026, 10:13 p.m. |
| NEDg | Description generation | batch_69aca38229108190b8cc2e0ef5bc8667 |
completed | March 7, 2026, 10:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aca40068f08190a49f9cbb5c78b471 |
completed | March 7, 2026, 10:17 p.m. |
Created at: March 1, 2026, 7:50 p.m.