Triple
T1013549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zip2 |
E21877
|
entity |
| Predicate | coFoundedBy |
P3263
|
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, coFoundedBy, Greg Kouri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greg Kouri Context triple: [Zip2, coFoundedBy, 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.
Stephen E. Smith
Stephen E. Smith was an American businessman and political strategist closely associated with the Kennedy family, notably serving as a key adviser and organizer in their political campaigns.
-
D.
Kenyon Cox
Kenyon Cox was an American painter, muralist, and art critic of the late 19th and early 20th centuries, known for his classical style and influential public murals.
-
E.
John Nichols
John Nichols is an American local politician serving as the mayor of College Station, Texas.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a8b254819089ffed9cb62a6930 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c0ef95081909ddc4ec480248572 |
completed | March 7, 2026, 4:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.