Triple

T6954781
Position Surface form Disambiguated ID Type / Status
Subject Boogie Nights E161214 entity
Predicate starredActor P5563 FINISHED
Object Heather Graham E223073 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 Graham | Statement: [Boogie Nights, starredActor, Heather Graham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather Graham
Context triple: [Boogie Nights, starredActor, Heather Graham]
  • A. Heather Graham chosen
    Heather Graham is an American actress known for her roles in films such as "Boogie Nights," "Austin Powers: The Spy Who Shagged Me," and "The Hangover."
  • B. Brooke Russell
    Brooke Russell was an American socialite and philanthropist best known as the wife of financier Vincent Astor and for her prominent role in New York high society.
  • C. Lauren Jones
    Lauren Jones is an American model, actress, and television personality known for her appearances in film, TV, and professional wrestling.
  • D. Tara Reid
    Tara Reid is an American actress best known for her roles in films like "American Pie" and "The Big Lebowski," as well as the "Sharknado" television movie series.
  • E. Pamela Anderson
    Pamela Anderson is a Canadian-American actress, model, and television personality best known for her role on "Baywatch" and her status as a prominent pop culture and sex symbol of the 1990s.
  • 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_69c68852a9a0819097797e31d492e273 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dace1a94819095311e4288f01784 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769fd908c81908d92ff4cd79b76c0 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:29 p.m.