Triple

T2151913
Position Surface form Disambiguated ID Type / Status
Subject Toy Story 4 E47798 entity
Predicate voiceCast P18510 FINISHED
Object Keanu Reeves E65178 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: Keanu Reeves | Statement: [Toy Story 4, voiceCast, Keanu Reeves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keanu Reeves
Context triple: [Toy Story 4, voiceCast, Keanu Reeves]
  • A. Keanu Reeves chosen
    Keanu Reeves is a Canadian actor and producer known for his roles in blockbuster action and science fiction films such as The Matrix and John Wick franchises.
  • B. Nicolas Cage
    Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
  • C. Eric Bana
    Eric Bana is an Australian actor known for his versatile performances in films such as "Hulk," "Munich," and "Troy."
  • D. Ewan McGregor
    Ewan McGregor is a Scottish actor known for his versatile film and television roles, including portraying Obi-Wan Kenobi in the Star Wars prequel trilogy.
  • E. Bruce Willis
    Bruce Willis is an American actor best known for his roles in action films such as the "Die Hard" series, as well as acclaimed performances in movies like "Pulp Fiction" and "The Sixth Sense."
  • 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_69a88a1d1fd8819088b34990d69a712f completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abbe48ad148190a7d6cc88fd38a660 completed March 7, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58e0e1b481909545e8e6d861adfd completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:44 p.m.