Triple

T19509394
Position Surface form Disambiguated ID Type / Status
Subject Hawkins Community Pool E488105 entity
Predicate employmentOfCharacter P56368 FINISHED
Object Heather Holloway NE NERFINISHED

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 Holloway | Statement: [Hawkins Community Pool, employmentOfCharacter, Heather Holloway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather Holloway
Context triple: [Hawkins Community Pool, employmentOfCharacter, Heather Holloway]
  • A. Heather Holloway chosen
    Heather Holloway is a seductive and ambitious investigative journalist in the satirical film "Thank You for Smoking," who becomes entangled with tobacco lobbyist Nick Naylor while pursuing a career-making exposé.
  • B. Heather Dunn
    Heather Dunn is an American musician best known as the drummer for the 1990s indie pop band Tiger Trap.
  • C. Heather DeLoach
    Heather DeLoach is an American actress best known for playing the iconic "bee girl" in Blind Melon's "No Rain" music video.
  • D. Heather Burns
    Heather Burns is an American actress best known for her comedic supporting roles in films such as "Miss Congeniality" and "You've Got Mail."
  • E. Courtney Eaton
    Courtney Eaton is an Australian actress and model best known for her roles in action and fantasy films such as "Mad Max: Fury Road" and "Gods of Egypt."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6351547e481909a875bba40651094 completed April 20, 2026, 2:15 p.m.
Created at: April 10, 2026, 1:40 p.m.