Triple

T21834039
Position Surface form Disambiguated ID Type / Status
Subject The Best FIFA Women's Player E539072 entity
Predicate notableWinner P2766 FINISHED
Object Ada Hegerberg 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: Ada Hegerberg | Statement: [The Best FIFA Women's Player, notableWinner, Ada Hegerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ada Hegerberg
Context triple: [The Best FIFA Women's Player, notableWinner, Ada Hegerberg]
  • A. Ada Hegerberg chosen
    Ada Hegerberg is a Norwegian professional footballer and prolific striker widely recognized as one of the world’s best women’s players and the first-ever female Ballon d'Or winner.
  • B. Hege Riise
    Hege Riise is a former Norwegian footballer and midfielder renowned as one of Norway’s greatest women’s players, winning the FIFA Women’s World Cup, UEFA Women’s Championship, and Olympic gold during her illustrious career.
  • C. Vivianne Miedema
    Vivianne Miedema is a prolific Dutch footballer and record-breaking goal scorer widely regarded as one of the best forwards in women’s football.
  • D. Lieke Miedema
    Lieke Miedema is the sister of Dutch professional footballer Vivianne Miedema.
  • E. Kendra Haaland
    Kendra Haaland is a film producer best known for her work in animated features, including the family adventure film "Wonder Park."
  • 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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a5eeb88190b58b5b6d363cd6e3 completed April 28, 2026, 12:27 p.m.
Created at: April 16, 2026, 6:55 p.m.