Triple

T19414832
Position Surface form Disambiguated ID Type / Status
Subject Tony Fernandes E485685 entity
Predicate name P16 FINISHED
Object Tony Fernandes 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: Tony Fernandes | Statement: [Tony Fernandes, name, Tony Fernandes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Fernandes
Context triple: [Tony Fernandes, name, Tony Fernandes]
  • A. Tony Fernandes chosen
    Tony Fernandes is a Malaysian entrepreneur best known as the founder of AirAsia and a prominent football executive and former chairman of Queens Park Rangers F.C.
  • B. Wayne Austin
    Wayne Austin is known as the husband of Northern Irish actress and singer Jayne Wisener.
  • C. Eddie Jordan
    Eddie Jordan is a former American professional basketball player and coach best known for his NBA playing career and head coaching stints, including with the Washington Wizards and Rutgers University.
  • D. Eddie Jordan
    Eddie Jordan is an Irish former racing driver, businessman, and television personality best known as the founder and team principal of the Jordan Grand Prix Formula One team.
  • E. David Fogarty
    David Fogarty is an entrepreneur best known as the founder of The Oodie, an Australian comfort-wear brand that gained widespread popularity online.
  • 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_69d8e8d688f881909c85104a62e09d8a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af90758819088999d98d270011a completed April 20, 2026, 1:32 p.m.
Created at: April 10, 2026, 1:37 p.m.