Triple

T10325800
Position Surface form Disambiguated ID Type / Status
Subject Brain on Fire E242757 entity
Predicate screenwriter P2831 FINISHED
Object Gerard Barrett E857072 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: Gerard Barrett | Statement: [Brain on Fire, screenwriter, Gerard Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerard Barrett
Context triple: [Brain on Fire, screenwriter, Gerard Barrett]
  • A. Gerard Barrett chosen
    Gerard Barrett is an Irish filmmaker known for directing the biographical drama film "Brain on Fire" and for his work on character-driven independent cinema.
  • B. Gerard Alexander
    Gerard Alexander is an American political scientist known for his work on democratic institutions, conservative politics, and the dynamics of political polarization.
  • C. John Ferriter
    John Ferriter was an American television producer and talent agent known for his influential work in late-night TV and reality programming.
  • D. Gerard Bicker
    Gerard Bicker was a member of the influential Dutch Bicker family, a prominent patrician dynasty in 17th-century Amsterdam.
  • E. Gerard Brown
    Gerard Brown is a screenwriter best known for co-writing the 1992 crime drama film "Juice."
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d794f3a130819095a8befd8fa3a9f0 completed April 9, 2026, noon
Created at: April 6, 2026, 11:51 a.m.