Triple

T5741622
Position Surface form Disambiguated ID Type / Status
Subject DC League of Super-Pets E126626 entity
Predicate voiceCastMember P9616 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: [DC League of Super-Pets, voiceCastMember, Keanu Reeves]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keanu Reeves
Context triple: [DC League of Super-Pets, voiceCastMember, 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. Reeves
    Reeves is a surname of English origin borne by numerous notable individuals across sports, entertainment, and other fields.
  • E. Edward Norton
    Edward Norton is an acclaimed American actor and filmmaker known for his intense, nuanced performances in films such as "Fight Club," "American History X," and "Birdman."
  • 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_69c0083179548190b384b0bf3c08ca4d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0258382908190af8787feb1e5fbcd completed March 22, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e1bfe4481908740aa20d55ec8f6 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.