Triple

T20280452
Position Surface form Disambiguated ID Type / Status
Subject Nat Levine E503126 entity
Predicate notableWork P4 FINISHED
Object The Miracle Rider 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: The Miracle Rider | Statement: [Nat Levine, notableWork, The Miracle Rider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Miracle Rider
Context triple: [Nat Levine, notableWork, The Miracle Rider]
  • A. The Miracle Rider chosen
    The Miracle Rider is a 1935 Western film serial starring Tom Mix as a Texas Ranger battling corruption and modern threats to Native American land.
  • B. The Royal Rider
    The Royal Rider is a 1929 American silent Western film starring cowboy actor Ken Maynard.
  • C. The Whirlwind Rider
    The Whirlwind Rider is a 1920s American silent Western film starring cowboy actor Ken Maynard in one of his early leading roles.
  • D. The Mysterious Rider
    The Mysterious Rider is a 1938 American Western film, based on a Zane Grey story, featuring Martha Vickers in one of her early screen roles.
  • E. The Rider
    The Rider is a critically acclaimed 2017 American drama film that blends fiction and reality to portray a young cowboy’s struggle to redefine his identity after a life-changing rodeo injury.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6768e9f0881909c8fe8772dafd468 completed April 20, 2026, 6:55 p.m.
Created at: April 16, 2026, 10:38 a.m.