Triple

T15566896
Position Surface form Disambiguated ID Type / Status
Subject Cashback E371139 entity
Predicate shortFilmDirector P46692 FINISHED
Object Sean Ellis E530046 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: Sean Ellis | Statement: [Cashback, shortFilmDirector, Sean Ellis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Ellis
Context triple: [Cashback, shortFilmDirector, Sean Ellis]
  • A. Sean Ellis chosen
    Sean Ellis is a British film director, screenwriter, and producer known for visually striking, atmospheric works such as "Cashback," "Metro Manila," and the World War II thriller "Anthropoid."
  • B. Jim Ellis
    Jim Ellis was a pioneering computer scientist best known as one of the creators of Usenet, an early global distributed discussion system that predated and influenced modern internet forums.
  • C. Ron Ellis
    Ron Ellis is a former Canadian professional ice hockey right winger best known for his long and successful NHL career with the Toronto Maple Leafs.
  • D. Sam Ellis
    Sam Ellis is a music producer known for his work on Taylor Swift’s self-titled debut album.
  • E. Stuart Wells
    Stuart Wells is a British actor best known for his role as Michael, Billy’s friend, in the acclaimed film "Billy Elliot."
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dde90b081908284d9258d4462e3 completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff67830b4c8190a8c3f2168d8c2ec7 completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:10 a.m.