Triple

T5871492
Position Surface form Disambiguated ID Type / Status
Subject FIFA President E130525 entity
Predicate officeHolder P537 FINISHED
Object Gianni Infantino E529734 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: Gianni Infantino | Statement: [FIFA President, officeHolder, Gianni Infantino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gianni Infantino
Context triple: [FIFA President, officeHolder, Gianni Infantino]
  • A. Gianni Infantino chosen
    Gianni Infantino is a Swiss-Italian football administrator who serves as the president of FIFA, the global governing body of soccer.
  • B. Sepp Blatter
    Sepp Blatter is a Swiss football administrator best known for serving as the long-time and controversial president of FIFA.
  • C. Marco Blatter
    Marco Blatter is the brother of former FIFA president Sepp Blatter and a member of the Blatter family from Switzerland.
  • D. Aleksander Čeferin
    Aleksander Čeferin is a Slovenian lawyer and football administrator who serves as the head of European football’s governing body, UEFA.
  • E. Laurent Platini
    Laurent Platini is the son of legendary French footballer and former UEFA president Michel Platini.
  • 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_69c0085047dc8190af24e311edad3c07 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c035f87a4c819092fcfce58d303d61 completed March 22, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b114c53081908ea441b2a15c9ab9 completed March 23, 2026, 3:18 a.m.
Created at: March 22, 2026, 3:56 p.m.