Triple

T11013709
Position Surface form Disambiguated ID Type / Status
Subject Rafael Nadal E260307 entity
Predicate familyName P18 FINISHED
Object Nadal E260307 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: Nadal | Statement: [Rafael Nadal, familyName, Nadal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadal
Context triple: [Rafael Nadal, familyName, Nadal]
  • A. Rafael Nadal chosen
    Rafael Nadal is a Spanish tennis legend widely regarded as one of the greatest players of all time, renowned for his dominance on clay courts and his numerous Grand Slam titles.
  • B. Roger Federer
    Roger Federer is a Swiss tennis legend widely regarded as one of the greatest players in the sport’s history, known for his record-breaking Grand Slam titles and elegant playing style.
  • C. Novak Djokovic
    Novak Djokovic is a Serbian professional tennis player widely regarded as one of the greatest of all time, holding numerous Grand Slam titles and records across all major tournaments.
  • D. Pedro Muguruza
    Pedro Muguruza was a Spanish architect and public official known for his prominent role in designing monumental works during the Francoist era.
  • E. Rafel Nadal i Farreras
    Rafel Nadal i Farreras is a Spanish journalist and writer from Mallorca, known for his work in newspapers and his award-winning novels and memoirs.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7978b1e888190b297f107f6021b59 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a98725808190903639866a3e745f completed April 18, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:25 p.m.