Triple

T13669753
Position Surface form Disambiguated ID Type / Status
Subject Laurent Platini E327716 entity
Predicate familyName P18 FINISHED
Object Platini E327716 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: Platini | Statement: [Laurent Platini, familyName, Platini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Platini
Context triple: [Laurent Platini, familyName, Platini]
  • A. Michel Platini
    Michel Platini is a legendary French footballer and former UEFA president, widely regarded as one of the greatest midfielders in the history of the sport.
  • B. Laurent Platini chosen
    Laurent Platini is the son of legendary French footballer and former UEFA president Michel Platini.
  • C. Jules Rimet
    Jules Rimet was a French football administrator best known as the long-serving FIFA president who founded the FIFA World Cup tournament.
  • D. Mario Kempes
    Mario Kempes is an Argentine former footballer and prolific striker best known for leading Argentina to victory at the 1978 World Cup and being one of the era’s most feared goal scorers.
  • E. Youri Djorkaeff
    Youri Djorkaeff is a retired French attacking midfielder and 1998 World Cup winner known for his technical skill and creativity, who enjoyed a successful club career across Europe and in MLS.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc6599c248190b7f134b5b9947a23 completed April 12, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d487e2c8190909e1c80cc2262ed completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:53 p.m.