Triple

T6150624
Position Surface form Disambiguated ID Type / Status
Subject The Game Plan E137189 entity
Predicate cinematographyBy P1953 FINISHED
Object Greg Gardiner E292629 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: Greg Gardiner | Statement: [The Game Plan, cinematographyBy, Greg Gardiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greg Gardiner
Context triple: [The Game Plan, cinematographyBy, Greg Gardiner]
  • A. Greg Gardiner chosen
    Greg Gardiner is a film cinematographer best known for his work on the popular Christmas comedy movie "Elf."
  • B. Gerald Hagey
    Gerald Hagey was a Canadian academic and administrator best known as the founding president who led the development of the University of Waterloo into a major institution.
  • C. Tedd Munchak
    Tedd Munchak was an American businessman best known for owning the Carolina Cougars franchise in the former American Basketball Association.
  • D. Doug McKeon
    Doug McKeon is an American actor best known for his acclaimed performance as the teenage boy in the classic 1981 film "On Golden Pond."
  • E. Dennis McCarthy
    Dennis McCarthy is an American composer best known for his extensive work scoring multiple Star Trek television series and films.
  • 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_69c008a45d008190832a9e19f5d63406 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05ce329648190a03ba0233df841fa completed March 22, 2026, 9:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1360d84e081909ff6c06e3bd54aee completed March 23, 2026, 12:46 p.m.
Created at: March 22, 2026, 4:16 p.m.