Triple
T18190883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Cote |
E435528
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Cote |
—
|
NE NERFINISHED |
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 Cote | Statement: [David Cote, name, David Cote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Cote Context triple: [David Cote, name, David Cote]
-
A.
David Cote
chosen
David Cote is an American business executive best known for serving as the longtime CEO of Honeywell International and for his involvement in U.S. fiscal and economic policy discussions.
-
B.
Steve Mattin
Steve Mattin is a British automobile designer best known for his work on prominent models at Mercedes-Benz and Volvo, including the Volvo XC60.
-
C.
Kevin Gerrity
Kevin Gerrity is a supporting character in the comedy film "Big Daddy," known as one of Sonny Koufax’s close friends.
-
D.
Michael Corbat
Michael Corbat is an American banker best known for serving as CEO of Citigroup from 2012 to 2021.
-
E.
Mark Parker
Mark Parker is an American businessman best known for serving as the longtime CEO and later executive chairman of Nike, Inc.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0cf0d7c81908ce0386c52ef601d |
completed | April 19, 2026, 2:03 p.m. |
Created at: April 10, 2026, 10:31 a.m.