Triple

T22025619
Position Surface form Disambiguated ID Type / Status
Subject Ali Daei E543953 entity
Predicate fullName P16 FINISHED
Object Ali Daei 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: Ali Daei | Statement: [Ali Daei, fullName, Ali Daei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Daei
Context triple: [Ali Daei, fullName, Ali Daei]
  • A. Ali Daei chosen
    Ali Daei is a retired Iranian footballer and prolific striker best known for being one of the highest international goal scorers in men's football history and a former captain of Iran’s national team.
  • B. Park Ji-man
    Park Ji-man is a South Korean businessman best known as the younger brother of former South Korean president Park Geun-hye and the only son of former dictator Park Chung-hee.
  • C. Ganso
    Ganso is a Brazilian attacking midfielder known for his vision, creativity, and playmaking skills, who rose to prominence at Santos FC alongside Neymar.
  • D. Baghdad Bounedjah
    Baghdad Bounedjah is an Algerian professional footballer and prolific striker known for his goal-scoring exploits for both club and the Algeria national team.
  • E. Hidetoshi Nakata
    Hidetoshi Nakata is a retired Japanese footballer widely regarded as one of Asia’s greatest players, known for his successful career in Serie A and his influential role in popularizing Japanese football internationally.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cba61c8190a48ec2c1ee1315b0 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.