Triple

T15435851
Position Surface form Disambiguated ID Type / Status
Subject Bored to Death E369759 entity
Predicate castMember P1668 FINISHED
Object Heather Burns E669577 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: Heather Burns | Statement: [Bored to Death, castMember, Heather Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather Burns
Context triple: [Bored to Death, castMember, Heather Burns]
  • A. Heather Burns chosen
    Heather Burns is an American actress best known for her comedic supporting roles in films such as "Miss Congeniality" and "You've Got Mail."
  • B. Heather Persons
    Heather Persons is a film editor best known for her work on the independent comedy-drama "Sunshine Cleaning."
  • C. Heather Gibson
    Heather Gibson is known as the wife of the late British actor Richard Griffiths, acclaimed for his roles in film, television, and theatre.
  • D. Heather Thomas
    Heather Thomas is an American actress, author, and former television personality best known for her role as Jody Banks on the 1980s TV series "The Fall Guy."
  • E. Heather O'Reilly
    Heather O'Reilly is a retired American soccer midfielder and three-time Olympic gold medalist known for her long, successful career with the U.S. women's national team and in professional club play.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edb3ec481908b26164d4470c9bc completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
Created at: April 10, 2026, 3:21 a.m.