Triple

T13437863
Position Surface form Disambiguated ID Type / Status
Subject Bruce Cooper E320276 entity
Predicate name P16 FINISHED
Object Bruce Cooper
Bruce Cooper is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
 E1042486 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: Bruce Cooper | Statement: [Bruce Cooper, name, Bruce Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bruce Cooper
Context triple: [Bruce Cooper, name, Bruce Cooper]
  • A. Bruce Cooper
    Bruce Cooper is a fashion industry professional best known as the founder of the international modeling agency Wilhelmina Models.
  • B. Bob Cooper
    Bob Cooper is a film producer best known for his work on the romantic comedy "Last Holiday" and other mainstream Hollywood projects.
  • C. Blain Cooper
    Blain Cooper is a tough, heavy-weapons specialist and member of the elite military rescue team in the 1987 science fiction action film "Predator."
  • D. Jacques Cooper
    Jacques Cooper is a French industrial designer best known for creating the iconic TGV high-speed train.
  • E. Ian Cooper
    Ian Cooper is a film producer known for his work with Jordan Peele’s Monkeypaw Productions on projects such as "Us" and "Nope."
  • 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: Bruce Cooper
Triple: [Bruce Cooper, name, Bruce Cooper]
Generated description
Bruce Cooper is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bruce Cooper
Target entity description: Bruce Cooper is a person whose specific public background or notable achievements are not clearly identifiable from the given information.
  • A. Bruce Cooper
    Bruce Cooper is a fashion industry professional best known as the founder of the international modeling agency Wilhelmina Models.
  • B. Bob Cooper
    Bob Cooper is a film producer best known for his work on the romantic comedy "Last Holiday" and other mainstream Hollywood projects.
  • C. Blain Cooper
    Blain Cooper is a tough, heavy-weapons specialist and member of the elite military rescue team in the 1987 science fiction action film "Predator."
  • D. Jacques Cooper
    Jacques Cooper is a French industrial designer best known for creating the iconic TGV high-speed train.
  • E. Ian Cooper
    Ian Cooper is a film producer known for his work with Jordan Peele’s Monkeypaw Productions on projects such as "Us" and "Nope."
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaee5ec488190bd0c1e990dbd2bc2 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74621474c8190b96a8f8561451bed completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74729e7f481909da298f70c2bc486 completed May 3, 2026, 1:01 p.m.
NED2 Entity disambiguation (via description) batch_69f747a1d8748190a90d9e3e083c4a85 completed May 3, 2026, 1:03 p.m.
Created at: April 9, 2026, 9:40 p.m.