Triple

T8685114
Position Surface form Disambiguated ID Type / Status
Subject Christmas in Connecticut E206137 entity
Predicate director P255 FINISHED
Object Peter Godfrey E152922 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: Peter Godfrey | Statement: [Christmas in Connecticut, director, Peter Godfrey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Godfrey
Context triple: [Christmas in Connecticut, director, Peter Godfrey]
  • A. Peter Godfrey chosen
    Peter Godfrey was a British-born actor and director known for his work in mid-20th-century film and television, particularly in Hollywood.
  • B. Peter Harvey
    Peter Harvey is a set designer known for his work on the production "Diamonds."
  • C. Peter Geach
    Peter Geach was a British analytic philosopher known for his influential work in logic, philosophy of language, and ethics, and for his close intellectual partnership with Elizabeth Anscombe.
  • D. Patrick Godfrey
    Patrick Godfrey is a British character actor known for his supporting roles in acclaimed films and television dramas, including period pieces such as The Remains of the Day.
  • E. Peter Graham
    Peter Graham is a character in the horror film "Hereditary," serving as the teenage son whose psychological unraveling reflects the movie’s escalating supernatural and familial terror.
  • 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_69ca835379688190aa06b9d98e684d58 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4aeae740819099093906ccc5f640 completed March 31, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef3cd888c81909fb1ece99988db36 completed April 2, 2026, 10:55 p.m.
Created at: March 30, 2026, 6:32 p.m.