Triple

T20478417
Position Surface form Disambiguated ID Type / Status
Subject The Accidental Tourist E502383 entity
Predicate portrayedBy P1507 FINISHED
Object William Hurt 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: William Hurt | Statement: [The Accidental Tourist, portrayedBy, William Hurt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Hurt
Context triple: [The Accidental Tourist, portrayedBy, William Hurt]
  • A. William Hurt chosen
    William Hurt was an acclaimed American actor known for his intense, introspective performances in films such as "Kiss of the Spider Woman," "Broadcast News," and "The Big Chill."
  • B. Matthew Modine
    Matthew Modine is an American actor best known for his roles in films like "Full Metal Jacket" and the series "Stranger Things."
  • C. Ned Beatty
    Ned Beatty was an acclaimed American character actor known for his powerful supporting roles in films such as "Deliverance," "Network," and "Superman."
  • D. H. R. F. Keating
    H. R. F. Keating was a British crime novelist and critic best known for his Inspector Ghote series set in India and his influential work in the mystery genre.
  • E. James Remar
    James Remar is an American character actor known for his intense and often villainous roles in film and television, including notable performances in projects like "Dexter," "The Warriors," and "48 Hrs."
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.