Triple
T15880731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aura |
E385067
|
entity |
| Predicate | instrument |
P792
|
FINISHED |
| Object |
HIRDLS
HIRDLS is a high-resolution infrared limb sounder used on NASA's Aura satellite to measure temperature and trace gases in Earth's upper atmosphere for climate and atmospheric chemistry research.
|
E1181933
|
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: HIRDLS | Statement: [Aura, instrument, HIRDLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HIRDLS Context triple: [Aura, instrument, HIRDLS]
-
A.
Hird
Hird is a surname most notably associated with English actress Dame Thora Hird, renowned for her extensive work in film, television, and theatre.
-
B.
HILR
HILR is a Harvard-affiliated institute that offers peer-led, lifelong learning opportunities for retired and semi-retired adults.
-
C.
Hirle
Hirle is a village-level settlement located within Devgad taluka in the Sindhudurg district of Maharashtra, India.
-
D.
Hilty
Hilty is the surname of American actress and singer Megan Hilty, known for her work on Broadway and television.
-
E.
HILJ
HILJ is a leading academic journal published by Harvard Law School that focuses on scholarship in public and private international law.
- 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: HIRDLS Triple: [Aura, instrument, HIRDLS]
Generated description
HIRDLS is a high-resolution infrared limb sounder used on NASA's Aura satellite to measure temperature and trace gases in Earth's upper atmosphere for climate and atmospheric chemistry research.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HIRDLS Target entity description: HIRDLS is a high-resolution infrared limb sounder used on NASA's Aura satellite to measure temperature and trace gases in Earth's upper atmosphere for climate and atmospheric chemistry research.
-
A.
Hird
Hird is a surname most notably associated with English actress Dame Thora Hird, renowned for her extensive work in film, television, and theatre.
-
B.
HILR
HILR is a Harvard-affiliated institute that offers peer-led, lifelong learning opportunities for retired and semi-retired adults.
-
C.
Hirle
Hirle is a village-level settlement located within Devgad taluka in the Sindhudurg district of Maharashtra, India.
-
D.
Hilty
Hilty is the surname of American actress and singer Megan Hilty, known for her work on Broadway and television.
-
E.
HILJ
HILJ is a leading academic journal published by Harvard Law School that focuses on scholarship in public and private international law.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156160a208190b30da2426411ee98 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
| NEDg | Description generation | batch_69ffa9e9b17c8190b98d930fd5cb0723 |
completed | May 9, 2026, 9:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffaa973274819080889e1b9883b8dc |
completed | May 9, 2026, 9:43 p.m. |
Created at: April 10, 2026, 4:51 a.m.