Triple

T5957537
Position Surface form Disambiguated ID Type / Status
Subject Arthur Kennedy E132553 entity
Predicate notableWork P4 FINISHED
Object Champion E288355 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: Champion | Statement: [Arthur Kennedy, notableWork, Champion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Champion
Context triple: [Arthur Kennedy, notableWork, Champion]
  • A. Champion chosen
    "Champion" is a 1949 American film noir boxing drama directed by Mark Robson and starring Kirk Douglas as an ambitious but ruthless prizefighter.
  • B. Champion
    Champion was a prominent streamlined passenger train that operated in the mid-20th century between the U.S. Northeast and Florida, known for its popular vacation service.
  • C. Champion
    Champion is an American athletic apparel and sportswear brand known for its hoodies, sweatshirts, and activewear.
  • D. The Champion
    "The Champion" is a 1915 silent comedy film starring Charlie Chaplin as an underdog boxer who humorously battles his way through the prizefighting world.
  • E. The Champions
    The Champions is a British 1960s television series that follows three secret agents endowed with superhuman abilities after a plane crash in the Himalayas.
  • 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_69c0086b05cc8190a8f36a96927a525c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c039c34ca881909a219eddf99348ab completed March 22, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3dd99888190ac3eeef692a7d879 completed March 23, 2026, 6:55 a.m.
Created at: March 22, 2026, 4:02 p.m.