Triple
T6079806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-58 |
E135492
|
entity |
| Predicate | missionSpecialist |
P21471
|
FINISHED |
| Object | David A. Wolf |
E331959
|
NE FINISHED |
How this triple was built (2 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: David A. Wolf | Statement: [STS-58, missionSpecialist, David A. Wolf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David A. Wolf Context triple: [STS-58, missionSpecialist, David A. Wolf]
-
A.
David Wolf
chosen
David Wolf is an American astronaut and physician known for his long-duration missions aboard the Russian Mir space station and the International Space Station.
-
B.
Alexander L. Wolf
Alexander L. Wolf is a prominent computer scientist known for his influential contributions to software engineering and distributed systems research.
-
C.
Daniel A. Wolf
Daniel A. Wolf is an American entrepreneur and politician best known as the founder of regional airline Cape Air and as a former Massachusetts state senator.
-
D.
Roland A. Madden
Roland A. Madden is an atmospheric scientist best known for co-identifying the Madden–Julian Oscillation, a major pattern of tropical intraseasonal climate variability.
-
E.
Roger K. Furse
Roger K. Furse was a British costume and production designer renowned for his work on classic films, including being among the earliest recipients of the Academy Award for Best Costume Design.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0087ad31c8190ab936e0ff28614b6 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0577209b88190afe5b1365cf6436d |
completed | March 22, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1252a178c81909a3d689ad748fb5e |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:11 p.m.