Triple

T21149826
Position Surface form Disambiguated ID Type / Status
Subject Sir George E521158 entity
Predicate portrayedBy P1507 FINISHED
Object Gary Lockwood NE NERFINISHED

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: Gary Lockwood | Statement: [Sir George, portrayedBy, Gary Lockwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gary Lockwood
Context triple: [Sir George, portrayedBy, Gary Lockwood]
  • A. Gary Lockwood chosen
    Gary Lockwood is an American actor best known for his role as astronaut Frank Poole in Stanley Kubrick’s science fiction classic "2001: A Space Odyssey."
  • B. Tim Lockwood
    Tim Lockwood is the eccentric inventor father of protagonist Flint Lockwood in the animated film "Cloudy with a Chance of Meatballs."
  • C. Bruce Locke
    Bruce Locke is an American actor best known for his roles in science fiction and action films and television series, often portraying intense or authoritative characters.
  • D. John Lockert
    John Lockert is a film editor known for his work on the 1944 drama "Youth Runs Wild."
  • E. Todd Lockwood
    Todd Lockwood is an American fantasy artist and illustrator renowned for his detailed, dramatic work on book covers and role-playing game art.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72400911c8190978e88138a9bfaff completed April 21, 2026, 7:15 a.m.
Created at: April 16, 2026, 2:58 p.m.