Triple

T13481132
Position Surface form Disambiguated ID Type / Status
Subject Donnie Darko E318373 entity
Predicate producer P490 FINISHED
Object Adam Fields E818833 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: Adam Fields | Statement: [Donnie Darko, producer, Adam Fields]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adam Fields
Context triple: [Donnie Darko, producer, Adam Fields]
  • A. Adam Fields chosen
    Adam Fields is a film producer known for his work on various Hollywood movies, including the comedy "The Wedding Ringer."
  • B. Adam Fields
    Adam Fields is a film and television composer best known for his work on the teen drama series "Dawson's Creek."
  • C. Stan Fields
    Stan Fields is a fictional beauty pageant host and commentator featured in the comedy film series "Miss Congeniality."
  • D. Nathan Field
    Nathan Field was a notable English Jacobean actor and playwright associated with the Children of the Queen's Revels and later the King's Men.
  • E. Jack Fields
    Jack Fields was the first husband of American actress and television producer Whitney Blake.
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf36c6b08190ba99400600e0b662 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f74635145c8190a42199fe4ed8c2a5 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.