Triple

T16866368
Position Surface form Disambiguated ID Type / Status
Subject Rick Yorn E410048 entity
Predicate notableWork P4 FINISHED
Object The Old Man E1049441 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: The Old Man | Statement: [Rick Yorn, notableWork, The Old Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Old Man
Context triple: [Rick Yorn, notableWork, The Old Man]
  • A. The Old Man
    The Old Man is the underworld nickname of Russell Bufalino, a powerful mid-20th-century American mob boss associated with the Bufalino crime family and alleged ties to major organized crime events.
  • B. The Old Man
    The Old Man is a mysterious, possibly hallucinatory figure in Sam Shepard’s play "Fool for Love," who serves as a haunting embodiment of the characters’ fractured family past and buried guilt.
  • C. The Old Man chosen
    The Old Man is a thriller drama television series starring Jeff Bridges as a former CIA operative forced back into hiding and conflict when his past catches up with him.
  • D. The Old Man
    The Old Man is a character or section within the work "The Use of Ashes," likely serving as a central, reflective figure that contributes to the work’s thematic depth.
  • E. Old Man’s
    Old Man’s is a popular, mellow surf break at San Onofre State Beach in Southern California, known for its long, gentle waves and laid-back atmosphere.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b5088f208190abfe937633ebe3fe completed April 18, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb2a62f48190b9174e85e6e1b7bd completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.