Triple

T1653027
Position Surface form Disambiguated ID Type / Status
Subject Timothy Hutton E35734 entity
Predicate portrayedCharacter P1668 FINISHED
Object Nathan Ford E98904 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: Nathan Ford | Statement: [Timothy Hutton, portrayedCharacter, Nathan Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan Ford
Context triple: [Timothy Hutton, portrayedCharacter, Nathan Ford]
  • A. Nathan Ford chosen
    Nathan Ford is the brilliant but morally conflicted former insurance investigator who leads a team of thieves and con artists in the television series "Leverage."
  • B. Nate Heller
    Nate Heller is a film composer and songwriter known for his emotionally resonant scores for movies such as "A Beautiful Day in the Neighborhood" and "Can You Ever Forgive Me?".
  • C. Nicholas Gage
    Nicholas Gage is a Greek-American author and former investigative journalist best known for his memoir "Eleni," which recounts his mother's execution during the Greek Civil War.
  • D. Christopher Benstead
    Christopher Benstead is a British composer and music editor known for his film scores and sound work on major movies, including collaborations with director Guy Ritchie.
  • E. William Nolan
    William Nolan is an editor known for his work on editions of classic adventure literature, including "The Mark of Zorro."
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a88cb108190a836b972f600c257 completed March 5, 2026, 4:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad60ac133881909222b25029096407 completed March 8, 2026, 11:42 a.m.
Created at: March 4, 2026, 7:29 p.m.