Triple

T5356538
Position Surface form Disambiguated ID Type / Status
Subject Mike Hill E102705 entity
Predicate notableWork P4 FINISHED
Object Cinderella Man E26359 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: Cinderella Man | Statement: [Mike Hill, notableWork, Cinderella Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cinderella Man
Context triple: [Mike Hill, notableWork, Cinderella Man]
  • A. Cinderella Man chosen
    Cinderella Man is a 2005 biographical sports drama film about Depression-era boxer James J. Braddock, starring Russell Crowe and directed by Ron Howard.
  • B. National Velvet
    National Velvet is a classic 1944 family sports drama film about a young girl and her horse competing in the Grand National steeplechase.
  • C. Seabiscuit
    Seabiscuit is a 2003 sports drama film about an undersized Depression-era racehorse and his unlikely team, adapted from Laura Hillenbrand’s nonfiction book.
  • D. Scent of a Woman
    Scent of a Woman is a 1992 drama film in which Al Pacino delivers an Oscar-winning performance as a blind, irascible former Army officer.
  • E. Hud
    Hud is a prophet in Islamic tradition, known for being sent to guide the ancient people of ʿĀd away from idolatry and toward the worship of one God.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd862f0ea48190bec78690ab3bee51 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e2b7b08190aca4c2855ff041de completed March 21, 2026, 10:55 p.m.
Created at: March 20, 2026, 2:01 p.m.