Triple

T3672739
Position Surface form Disambiguated ID Type / Status
Subject Lost in Translation E77916 entity
Predicate castMember P1668 FINISHED
Object Bill Murray E14530 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: Bill Murray | Statement: [Lost in Translation, castMember, Bill Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Murray
Context triple: [Lost in Translation, castMember, Bill Murray]
  • A. Bill Murray chosen
    Bill Murray is an American actor and comedian renowned for his deadpan humor and iconic roles in films such as "Ghostbusters," "Groundhog Day," and "Lost in Translation."
  • B. Dan Aykroyd
    Dan Aykroyd is a Canadian actor, comedian, and writer best known as an original cast member of Saturday Night Live and co-creator and star of the Ghostbusters film franchise.
  • C. David Spade
    David Spade is an American comedian and actor known for his work on "Saturday Night Live" and in numerous comedy films and television shows.
  • D. Rick Moranis
    Rick Moranis is a Canadian actor and comedian best known for his roles in films such as Ghostbusters, Honey, I Shrunk the Kids, and Spaceballs.
  • E. Steve Martin
    Steve Martin is an American comedian, actor, writer, and musician renowned for his influential stand-up comedy, film roles, and contributions to American humor.
  • 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_69ad85e083008190b2e1b7085fe500bd completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc42f82548190b4d5f0fe7250decb completed March 8, 2026, 6:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4dafd43b081908c7ff89e0f55bb5a completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:25 p.m.