Triple
T13625080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aurora Innovation |
E325557
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Drew Bagnell |
E64130
|
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: Drew Bagnell | Statement: [Aurora Innovation, foundedBy, Drew Bagnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Drew Bagnell Context triple: [Aurora Innovation, foundedBy, Drew Bagnell]
-
A.
Drew Bagnell
chosen
Drew Bagnell is a roboticist and machine learning researcher known for his work in autonomous systems and his role as a co-founder and chief scientist at Aurora Innovation.
-
B.
Drew Thayer
Drew Thayer is a CIA agent and the ex-boyfriend of the protagonist in the action-comedy film "The Spy Who Dumped Me."
-
C.
Drew Gordon
Drew Gordon was an American professional basketball player and standout collegiate forward known for his dominant rebounding and interior play, particularly at the University of New Mexico.
-
D.
Drew Ferguson
Drew Ferguson is an American Republican politician and dentist serving as a U.S. Representative from Georgia.
-
E.
Drew Hansen
Drew Hansen is an American lawyer, author, and Democratic politician who has served in the Washington State Legislature.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbe9c72c88190be3d7a3f2e96afbc |
completed | April 12, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d41d1108190be5193b246845f07 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:50 p.m.