Triple
T13780517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Meyer |
E331119
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ron Meyer |
E331119
|
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: Ron Meyer | Statement: [Ron Meyer, name, Ron Meyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Meyer Context triple: [Ron Meyer, name, Ron Meyer]
-
A.
Ron Meyer
chosen
Ron Meyer is an American entertainment executive best known as the longtime president and co-founder of Creative Artists Agency and former vice chairman of NBCUniversal.
-
B.
Ed Cooley
Ed Cooley is an American college basketball coach known for revitalizing programs such as Providence before taking over the storied Georgetown Hoyas men's basketball team.
-
C.
Jim VandeHei
Jim VandeHei is an American media entrepreneur and journalist best known as the co-founder and CEO of Axios and previously Politico.
-
D.
Bill Belew
Bill Belew was an American fashion and costume designer best known for creating many of Elvis Presley’s iconic stage outfits and jumpsuits.
-
E.
Pat Keady
Pat Keady is best known as the wife of longtime Purdue basketball coach and Hall of Famer Gene Keady.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b079013881908e9f5412e5dfb0b2 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.