Triple

T11476402
Position Surface form Disambiguated ID Type / Status
Subject Louis van Gaal E272034 entity
Predicate coachedNotablePlayer P21067 FINISHED
Object Wayne Rooney E132921 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: Wayne Rooney | Statement: [Louis van Gaal, coachedNotablePlayer, Wayne Rooney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne Rooney
Context triple: [Louis van Gaal, coachedNotablePlayer, 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. Peter Welbeck
    Peter Welbeck is a screenwriting pseudonym used by British filmmaker and producer Harry Alan Towers, credited on numerous genre and exploitation films.
  • D. Rooney
    Rooney is a prominent American family name most famously associated with the longtime owners of the NFL’s Pittsburgh Steelers.
  • E. Rooney
    Rooney is the distinctive given name of American actress Rooney Mara, known for her roles in films such as "The Girl with the Dragon Tattoo" and "Carol."
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294c8dc48190a515f83c99405a3b completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e965eebc8190822247b1abc13483 completed April 20, 2026, 8:52 a.m.
Created at: April 8, 2026, 9:36 p.m.