Triple

T23263863
Position Surface form Disambiguated ID Type / Status
Subject GTO E582089 entity
Predicate screenwriterOfWork P25235 FINISHED
Object Will Corry 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: Will Corry | Statement: [GTO, screenwriterOfWork, Will Corry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Will Corry
Context triple: [GTO, screenwriterOfWork, Will Corry]
  • A. Will Corry chosen
    Will Corry is a screenwriter best known for his work on the cult road movie "Two-Lane Blacktop."
  • B. Bill Dobbie
    Bill Dobbie is a Scottish entrepreneur and investor best known as a co-founder of the Isle of Raasay Distillery.
  • C. Pat Corley
    Pat Corley was an American character actor best known for playing bar owner Phil on the television series "Murphy Brown."
  • D. William Conway
    William Conway was a member of the prominent Conway family of early 19th-century American politicians, related to Arkansas's first governor James Sevier Conway.
  • E. Don Beddoe
    Don Beddoe was an American character actor known for his prolific work in film and television from the 1930s through the 1970s, often appearing in supporting roles in comedies, dramas, and westerns.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194cb76c48190869915cd93b44fcc completed April 29, 2026, 5:19 a.m.
Created at: April 17, 2026, 4:11 p.m.