Triple

T14413380
Position Surface form Disambiguated ID Type / Status
Subject 5 Days of War E357385 entity
Predicate stars P1956 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: [5 Days of War, stars, Heather Graham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather Graham
Context triple: [5 Days of War, stars, 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. Melissa Hurley
    Melissa Hurley is an American dancer and choreographer best known for her work in film and television and for being married to actor Patrick Cassidy.
  • D. Sharley Hudson
    Sharley Hudson was the wife of American character actor Keenan Wynn.
  • E. Paget Brewster
    Paget Brewster is an American actress best known for her roles in television series such as "Criminal Minds," "Friends," and various comedic and voice-acting projects.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc79c088190b6fd2984515976d7 completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:17 a.m.