Triple

T3120805
Position Surface form Disambiguated ID Type / Status
Subject Keanu Reeves E65178 entity
Predicate givenName P17 FINISHED
Object Keanu 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 | Statement: [Keanu Reeves, givenName, Keanu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keanu
Context triple: [Keanu Reeves, givenName, Keanu]
  • 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. Bill Hartnett
    Bill Hartnett is a person notable enough to be recognized as a bearer of the surname Hartnett, though specific widely known achievements or roles are not clearly documented.
  • C. Damon
    Damon is a character in the pastoral myth of Acis and Galatea, often portrayed as a shepherd whose role highlights themes of love, jealousy, and counsel.
  • D. Damon
    Damon is a surname most prominently associated with American actor, producer, and screenwriter Matt Damon and his family.
  • E. William Cage
    William Cage is the protagonist of the science fiction film "Edge of Tomorrow," a military public relations officer who becomes caught in a time loop while fighting an alien invasion.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5295cd481908d52e165538c67fa completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235a8949881908496a1413ffa2658 completed March 12, 2026, 3:40 a.m.
Created at: March 8, 2026, 3:04 p.m.