Triple

T15311534
Position Surface form Disambiguated ID Type / Status
Subject The Boy (2016 film) E366049 entity
Predicate producer P490 FINISHED
Object Eric Reid E1136382 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: Eric Reid | Statement: [The Boy (2016 film), producer, Eric Reid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eric Reid
Context triple: [The Boy (2016 film), producer, Eric Reid]
  • A. Eric Reid chosen
    Eric Reid is a film producer known for his work on the romantic comedy "The Ugly Truth."
  • B. Sam Burgess
    Sam Burgess is an English former professional rugby league forward renowned for his powerful playing style and success with the South Sydney Rabbitohs and England.
  • C. Jerome Tang
    Jerome Tang is an American college basketball coach best known for revitalizing the Kansas State Wildcats men's basketball program after a long tenure as an assistant at Baylor.
  • D. Jarvis Tyner
    Jarvis Tyner is an American communist politician and longtime leader in the Communist Party USA who twice ran for vice president of the United States.
  • E. Steve Decker
    Steve Decker is a musician best known for his past role as a member of the alternative hip hop band Gym Class Heroes.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a20c1881909b387aed6f532c3d completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.