Triple

T2523377
Position Surface form Disambiguated ID Type / Status
Subject MLS All-Star E55575 entity
Predicate hasAwarded P2391 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: [MLS All-Star, hasAwarded, Wayne Rooney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wayne Rooney
Context triple: [MLS All-Star, hasAwarded, 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. Joe Cole
    Joe Cole is an English actor best known for his role as John Shelby in the television crime drama series "Peaky Blinders."
  • C. Billy Sharp
    Billy Sharp is an English professional footballer best known as a prolific striker, particularly for his goal-scoring exploits with Sheffield United.
  • D. Michael Owen
    Michael Owen is a retired English footballer best known as a prolific striker for Liverpool, Real Madrid, Newcastle United, Manchester United, and the England national team.
  • E. Jamie Vardy
    Jamie Vardy is an English professional footballer and prolific striker best known for spearheading Leicester City’s remarkable 2015–16 Premier League title win.
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd23a0a548190b44393e0f823f7a9 completed March 7, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cf0939c8190b7f7babc487c43cd completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.