Triple
T15989547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greylock Partners |
E387787
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Dan Gregory |
E387787
|
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: Dan Gregory | Statement: [Greylock Partners, foundedBy, Dan Gregory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Gregory Context triple: [Greylock Partners, foundedBy, Dan Gregory]
-
A.
Dan Gregory
chosen
Dan Gregory is a venture capitalist best known as a co-founder of the prominent Silicon Valley investment firm Greylock Partners.
-
B.
Dan Gordon
Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
-
C.
Dan Gordon
Dan Gordon is a New Zealand local government leader who serves as the mayor of the Waimakariri District in the Canterbury region.
-
D.
Gregg Berger
Gregg Berger is an American voice actor known for his work in animation and video games, including roles in franchises like "Transformers" and various Spyro titles.
-
E.
Dan Haggerty
Dan Haggerty was an American actor best known for his portrayal of the gentle mountain man in the film and television series "The Life and Times of Grizzly Adams."
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157829ec08190aa4a683e29a0148a |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d2369081909efa2d4addf0cf2d |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.