Triple
T4626199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Score |
E101102
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Gary Foster
Gary Foster is a film producer best known for his work on major Hollywood movies such as the crime thriller "The Score."
|
E456431
|
NE FINISHED |
How this triple was built (4 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.
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."
-
B.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
C.
Jeff Foster
Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
-
D.
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.
-
E.
Brian Foster
Brian Foster is the husband of Northern Irish politician and former First Minister Arlene Foster.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gary Foster Triple: [The Score, producer, Gary Foster]
Generated description
Gary Foster is a film producer best known for his work on major Hollywood movies such as the crime thriller "The Score."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gary Foster Target entity description: Gary Foster is a film producer best known for his work on major Hollywood movies such as the crime thriller "The Score."
-
A.
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."
-
B.
Jim Foster
Jim Foster is an American sports executive best known as the creator and founding figure of the Arena Football League.
-
C.
Jeff Foster
Jeff Foster is an entrepreneur best known for founding the global athletic footwear and apparel brand Reebok.
-
D.
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.
-
E.
Brian Foster
Brian Foster is the husband of Northern Irish politician and former First Minister Arlene Foster.
- F. None of above. chosen
Provenance (5 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaab30508190881828adab92ba22 |
completed | March 21, 2026, 1:55 a.m. |
| NEDg | Description generation | batch_69bdfb56021081909b23d22770bf3c88 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbeddd7c8190955bd3363fec4ca1 |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.