Triple

T11731515
Position Surface form Disambiguated ID Type / Status
Subject Thief E278906 entity
Predicate starred P5563 FINISHED
Object James Caan E197912 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: James Caan | Statement: [Thief, starred, James Caan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Caan
Context triple: [Thief, starred, James Caan]
  • A. James Caan chosen
    James Caan was an American actor best known for his intense, charismatic performances in films such as "The Godfather," "Misery," and "Brian's Song."
  • B. Josie James Caan
    Josie James Caan is the daughter of American actor Scott Caan and his partner Kacy Byxbee.
  • C. Arthur Caan
    Arthur Caan is the son of the late American actor James Caan, known for his iconic roles in films such as "The Godfather."
  • D. Roy Scheider
    Roy Scheider was an American actor best known for his intense, everyman performances in films such as "The French Connection," "All That Jazz," and "Jaws."
  • E. John Cazale
    John Cazale was an American actor renowned for his intense, memorable performances in a brief but influential film career that included classics like The Godfather, Dog Day Afternoon, and The Deer Hunter.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4d94de08190a7184cf26d8cb94e completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83f98fc481908015df3c4e5d7ed3 completed April 27, 2026, 3:42 p.m.
Created at: April 8, 2026, 9:41 p.m.