Triple
T16694270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | STS-117 |
E405673
|
entity |
| Predicate | pilot |
P2087
|
FINISHED |
| Object | Lee Archambault |
E1228729
|
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: Lee Archambault | Statement: [STS-117, pilot, Lee Archambault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Archambault Context triple: [STS-117, pilot, Lee Archambault]
-
A.
Lee Archambault
chosen
Lee Archambault is a retired NASA astronaut and former U.S. Air Force test pilot who flew on two Space Shuttle missions, including serving as commander of STS-119.
-
B.
Colin Fournier
Colin Fournier is a British architect and academic best known for his innovative, experimental designs and his co-authorship of the iconic biomorphic Kunsthaus Graz in Austria.
-
C.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
D.
Daniel Roberdeau
Daniel Roberdeau was an American Revolutionary War general and Continental Congress delegate from Pennsylvania who played a key role in organizing colonial defenses and supporting the patriot cause.
-
E.
Aaron Courville
Aaron Courville is a machine learning researcher and professor best known as a co-author of the influential deep learning textbook alongside Yoshua Bengio and Ian Goodfellow.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eab93a081909aedc45f3f8f0e10 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d36aa90819090b738c1c94dcb9f |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:19 a.m.