Triple
T5676489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Entourage |
E125097
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Ari Gold |
E343469
|
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: Ari Gold | Statement: [Entourage, mainCharacter, Ari Gold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ari Gold Context triple: [Entourage, mainCharacter, Ari Gold]
-
A.
Ari Gold
chosen
Ari Gold is a fast-talking, foul-mouthed Hollywood talent agent and fan-favorite character from the television series "Entourage."
-
B.
David Gold
David Gold was a British businessman best known as the co-owner and co-chairman of West Ham United Football Club.
-
C.
Gary Goldman
Gary Goldman is an American screenwriter best known for his work on major science fiction and action films, including the 1990 movie "Total Recall."
-
D.
Rich Silverstein
Rich Silverstein is an influential American advertising executive and co-founder of the agency Goodby, Silverstein & Partners, known for iconic campaigns such as “Got Milk?”.
-
E.
Michael Greenberg
Michael Greenberg is a prominent American neuroscientist renowned for his pioneering work on activity-dependent gene expression in the brain.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023728f488190a3622844d78caa13 |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c04dbbbe9081908d1915b898722c18 |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 3:43 p.m.