Triple

T2919370
Position Surface form Disambiguated ID Type / Status
Subject Wes Anderson E78680 entity
Predicate frequentCollaborator P11349 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: [Wes Anderson, frequentCollaborator, Bill Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Murray
Context triple: [Wes Anderson, frequentCollaborator, 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_69ad8b0c2ad081909ff87050ae542bb9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad96a53f8c8190b188d549f1161e84 completed March 8, 2026, 3:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc632afc819098021312c748346b completed March 11, 2026, 5:23 a.m.
Created at: March 8, 2026, 2:54 p.m.