Triple

T22665613
Position Surface form Disambiguated ID Type / Status
Subject Coleen Rooney E559775 entity
Predicate spouse P13 FINISHED
Object Wayne Rooney 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: Wayne Rooney | Statement: [Coleen Rooney, spouse, Wayne Rooney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne Rooney
Context triple: [Coleen Rooney, spouse, Wayne Rooney]
  • A. Wayne Rooney chosen
    Wayne Rooney is an English former professional footballer and current manager, best known as Manchester United and England’s all-time leading goalscorer.
  • B. Kerry Rooney
    Kerry Rooney is one of the children of American model and actress Barbara Ann Thomason, who was also known as Carolyn Mitchell.
  • C. Danny Welbeck
    Danny Welbeck is an English professional footballer and forward who has played for clubs including Manchester United, Arsenal, and Brighton & Hove Albion, as well as the England national team.
  • D. Peter Welbeck
    Peter Welbeck is a screenwriting pseudonym used by British filmmaker and producer Harry Alan Towers, credited on numerous genre and exploitation films.
  • E. Rooney
    Rooney is an American rock band known for its catchy power-pop sound and early-2000s success, fronted by musician and actor Robert Schwartzman.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1781b3dbc8190a312843cf8c1bfc6 completed April 29, 2026, 3:16 a.m.
Created at: April 17, 2026, 3:08 p.m.