Triple

T9913369
Position Surface form Disambiguated ID Type / Status
Subject The Day of the Locust (film) E185801 entity
Predicate starredActor P5563 FINISHED
Object William Atherton E426286 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: William Atherton | Statement: [The Day of the Locust (film), starredActor, William Atherton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Atherton
Context triple: [The Day of the Locust (film), starredActor, William Atherton]
  • A. William Atherton chosen
    William Atherton is an American character actor best known for playing arrogant and antagonistic authority figures in films such as Ghostbusters and Die Hard.
  • B. Thomas Atkinson
    Thomas Atkinson is a relatively common English personal name shared by multiple notable individuals across fields such as architecture, politics, and sports.
  • C. James Naughton
    James Naughton is an American actor known for his work in film, television, and on Broadway, including his Tony Award-winning stage performances.
  • D. Robert Christopher Riley
    Robert Christopher Riley is an American actor best known for his role on the VH1 drama series "Hit the Floor."
  • E. John Ashton
    John Ashton is an American character actor best known for his tough, often blue-collar roles in crime and action films such as "Beverly Hills Cop" and "Midnight Run."
  • 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_69ca829b45f481909040f7b99a1976ed completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb53a300481909d917e487d8aab56 completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dcbf28c8190aa9f6a8be423670a completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.