Triple
T4440012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zip2 Corporation |
E95746
|
entity |
| Predicate | keyPerson |
P256
|
FINISHED |
| Object | Greg Kouri |
E21877
|
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: Greg Kouri | Statement: [Zip2 Corporation, keyPerson, Greg Kouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Kouri Context triple: [Zip2 Corporation, keyPerson, Greg Kouri]
-
A.
Greg Kouri
chosen
Greg Kouri was a Canadian entrepreneur and early investor best known for co-founding Zip2 alongside Elon and Kimbal Musk.
-
B.
David Kirkpatrick
David Kirkpatrick is an American technology journalist and author best known for his book "The Facebook Effect," which chronicles the rise and impact of Facebook.
-
C.
David Kirkpatrick
David Kirkpatrick is an American film producer and studio executive known for his work at major Hollywood studios and involvement in a range of popular movies.
-
D.
Stephen Haise
Stephen Haise is the son of American astronaut Fred Haise, one of the Apollo 13 crew members.
-
E.
Tom LaGarde
Tom LaGarde is a former American professional basketball player and Olympic gold medalist who played as a center/forward in the NBA during the late 1970s and early 1980s.
- 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_69b3453ea2b48190a26f154b3b8fece5 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355ac05e081908411089c05fc36bd |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6375d0d8c819095a27cdc84af9faf |
completed | March 15, 2026, 4:36 a.m. |
Created at: March 12, 2026, 11:31 p.m.