Triple

T11049521
Position Surface form Disambiguated ID Type / Status
Subject Happy Feet E261209 entity
Predicate screenwriter P2831 FINISHED
Object Warren Coleman E901270 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: Warren Coleman | Statement: [Happy Feet, screenwriter, Warren Coleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Coleman
Context triple: [Happy Feet, screenwriter, Warren Coleman]
  • A. Warren Coleman chosen
    Warren Coleman is an Australian filmmaker and screenwriter best known for co-directing the Academy Award–winning animated film "Happy Feet."
  • B. Stephen Coleman
    Stephen Coleman is a music producer known for his work on major television soundtracks, including the third season of HBO's Game of Thrones.
  • C. Warren Felder
    Warren Felder, better known by his professional name Oak, is an American record producer and songwriter recognized for his work with numerous prominent R&B and pop artists.
  • D. John Browder
    John Browder is a relative of civil rights figure Aurelia S. Browder, who was involved in the Montgomery bus boycott case Browder v. Gayle.
  • E. John Cawley
    John Cawley is a character from the psychological thriller film "Shutter Island," serving as a central figure in the story's mystery and mental health themes.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79868c78881908c8e3672c05ae7ec completed April 9, 2026, 12:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c851d5408190b12250a2a1322874 completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.