Triple

T19718740
Position Surface form Disambiguated ID Type / Status
Subject CPFC E473547 entity
Predicate owner P347 FINISHED
Object John Textor 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: John Textor | Statement: [CPFC, owner, John Textor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Textor
Context triple: [CPFC, owner, John Textor]
  • A. John Textor chosen
    John Textor is an American businessman and investor known for his ownership stakes and leadership roles in multiple football clubs, including Olympique Lyonnais.
  • B. Harry Lampert
    Harry Lampert was an American cartoonist and illustrator best known for co-creating the DC Comics superhero the Flash.
  • C. Eric Eisner
    Eric Eisner is a film producer best known for his work on independent and offbeat movies, including the comedy "Hamlet 2."
  • D. Joel Glazer
    Joel Glazer is an American businessman and member of the Glazer family who co-owns and helps oversee the operations of Manchester United Football Club.
  • E. Jerry Speyer
    Jerry Speyer is an American real estate developer and businessman best known as the co-founder and chairman of global property firm Tishman Speyer.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440f9dd88190bd15cf00f739dfb4 completed April 20, 2026, 3:19 p.m.
Created at: April 10, 2026, 1:46 p.m.