Triple

T21471382
Position Surface form Disambiguated ID Type / Status
Subject FIFA Uncovered E529739 entity
Predicate executiveProducer P7225 FINISHED
Object Daniel Gordon 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: Daniel Gordon | Statement: [FIFA Uncovered, executiveProducer, Daniel Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Gordon
Context triple: [FIFA Uncovered, executiveProducer, Daniel Gordon]
  • A. Daniel Gordon chosen
    Daniel Gordon is a British documentary filmmaker known for directing investigative and sports-related films, including the Netflix series "FIFA Uncovered."
  • B. David Gordon
    David Gordon is an economist known for his influential work in macroeconomic theory and policy, including collaborations with Robert J. Barro.
  • C. Donald Gordon
    Donald Gordon was a prominent South African-born businessman and philanthropist known for founding the financial services group Liberty Life and for his major contributions to the arts and education.
  • D. Donald Gordon
    Donald Gordon was an actor known for appearing in mid-20th-century films, including the romantic comedy "No Time for Love."
  • E. Christopher Gordon
    Christopher Gordon is an Australian composer best known for his orchestral film scores, including his acclaimed work on "Master and Commander: The Far Side of the World."
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea13adfc819093324ae6fe66c3fd completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:18 p.m.