Triple

T16244258
Position Surface form Disambiguated ID Type / Status
Subject Dane DeHaan E394328 entity
Predicate workedWith P398 FINISHED
Object Bradley Cooper E132891 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: Bradley Cooper | Statement: [Dane DeHaan, workedWith, Bradley Cooper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradley Cooper
Context triple: [Dane DeHaan, workedWith, Bradley Cooper]
  • A. Bradley Cooper chosen
    Bradley Cooper is an American actor and filmmaker known for his versatile performances in films such as "Silver Linings Playbook," "American Sniper," and "A Star Is Born."
  • B. Jeremy Cooper
    Jeremy Cooper is a former child actor best known for his haunting lead performance in the 1990 cult psychological horror film "The Reflecting Skin."
  • C. Allen Garfield
    Allen Garfield was an American character actor known for his portrayals of nervous, often morally ambiguous men in films of the 1960s through 1980s, including works by directors like Francis Ford Coppola and Robert Altman.
  • D. Mattias Ferrell
    Mattias Ferrell is one of the sons of American actor and comedian Will Ferrell.
  • E. Liev Schreiber
    Liev Schreiber is an American actor, director, and producer known for his versatile performances in film, television, and theater, including roles in "Ray Donovan," "Spotlight," and numerous Shakespearean stage productions.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560c6848190ae0e85ecb11a9264 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.