Triple
T18669459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Score |
E456431
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gary Foster |
—
|
NE NERFINISHED |
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: Gary Foster | Statement: [The Score, producer, Gary Foster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Foster Context triple: [The Score, producer, Gary Foster]
-
A.
Gary Foster
chosen
Gary Foster is a film producer best known for his work on major Hollywood movies such as the crime thriller "The Score."
-
B.
Craig Foster
Craig Foster is a South African filmmaker and naturalist best known for co-directing and starring in the Oscar-winning documentary "My Octopus Teacher."
-
C.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
D.
Jeff Foster
Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
-
E.
Ray Foster
Ray Foster is a fictional record executive character in the 2018 Queen biographical film "Bohemian Rhapsody," loosely inspired by real-life EMI executive Roy Featherstone.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e556b0502881909ea05f2746163746 |
completed | April 19, 2026, 10:26 p.m. |
Created at: April 10, 2026, 11:48 a.m.