Triple

T12938328
Position Surface form Disambiguated ID Type / Status
Subject Eagle Football Holdings E309571 entity
Predicate chairman P377 FINISHED
Object John Textor E309570 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: John Textor | Statement: [Eagle Football Holdings, chairman, John Textor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Textor
Context triple: [Eagle Football Holdings, chairman, 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. 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.
  • C. 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.
  • D. James Tisch
    James Tisch is an American businessman best known as a longtime leader of Loews Corporation, a diversified holding company founded by his family.
  • E. Eugene Applebaum
    Eugene Applebaum was a prominent Detroit businessman and philanthropist known for founding the Arbor Drugs pharmacy chain and supporting higher education and healthcare initiatives.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc8c0848190946e109ec98e4479 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6cbbf0fb08190aeb1697714942c2b completed May 3, 2026, 4:14 a.m.
Created at: April 9, 2026, 5:43 p.m.