Triple

T7977587
Position Surface form Disambiguated ID Type / Status
Subject George McFly E185483 entity
Predicate scriptedBy P15305 FINISHED
Object Bob Gale E187115 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: Bob Gale | Statement: [George McFly, scriptedBy, Bob Gale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Gale
Context triple: [George McFly, scriptedBy, Bob Gale]
  • A. Bob Gale chosen
    Bob Gale is an American screenwriter, producer, and director best known for co-writing the "Back to the Future" film trilogy.
  • B. Michael Fleischer
    Michael Fleischer is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the Fleischer family name.
  • C. Phil Tippett
    Phil Tippett is an acclaimed American visual effects supervisor and stop-motion animator renowned for his groundbreaking creature and character work on films such as Star Wars, Jurassic Park, and RoboCop.
  • D. John Alcott
    John Alcott was an acclaimed British cinematographer best known for his influential collaborations with director Stanley Kubrick on films such as "Barry Lyndon," "A Clockwork Orange," and "The Shining."
  • E. Russell Carpenter
    Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
  • 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_69ca829851908190b4e03829353ee7c3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3bf716508190b4245bd5d89ae8c4 completed March 31, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6744324c8190875444437d8dcc64 completed April 1, 2026, 6:43 p.m.
Created at: March 30, 2026, 5:14 p.m.