Triple

T3860429
Position Surface form Disambiguated ID Type / Status
Subject Sigourney Weaver E90119 entity
Predicate notableCharacter P1481 FINISHED
Object Dana Barrett E397940 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: Dana Barrett | Statement: [Sigourney Weaver, notableCharacter, Dana Barrett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dana Barrett
Context triple: [Sigourney Weaver, notableCharacter, Dana Barrett]
  • A. Dana Barrett chosen
    Dana Barrett is a central character in the Ghostbusters franchise, known as a New York musician whose apartment becomes the focal point of supernatural disturbances involving the demonic entity Zuul.
  • B. Dana DeMuth
    Dana DeMuth is a longtime Major League Baseball umpire who has officiated numerous postseason games, including multiple World Series.
  • C. Dana York
    Dana York is an American woman best known as the widow of rock musician Tom Petty, whom she married in 2001 and remained with until his death.
  • D. Dana Gaier
    Dana Gaier is an American actress best known for voicing the character Edith in the animated film series "Despicable Me."
  • E. Lindy Robbins
    Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec212a1c8190aba6311630c3fd3e completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53375ba7c819092449fe911bfc4fa completed March 14, 2026, 10:07 a.m.
Created at: March 9, 2026, 3:19 p.m.