Triple

T12412165
Position Surface form Disambiguated ID Type / Status
Subject Jean Tigana E296543 entity
Predicate name P16 FINISHED
Object Jean Tigana E296543 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: Jean Tigana | Statement: [Jean Tigana, name, Jean Tigana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Tigana
Context triple: [Jean Tigana, name, Jean Tigana]
  • A. Jean Tigana chosen
    Jean Tigana is a former French international midfielder renowned for his dynamic play with clubs like Bordeaux and for being part of France’s celebrated 1980s national team.
  • B. Dusan Ivković
    Dušan Ivković was a legendary Serbian basketball coach renowned for leading national and European club teams to numerous titles and for his influential tactical innovations in international basketball.
  • C. Dragan Stojković
    Dragan Stojković is a renowned Serbian former attacking midfielder and football manager, celebrated as one of Yugoslavia’s greatest football talents.
  • D. Ivo Josipović
    Ivo Josipović is a Croatian jurist, composer, and politician who served as the country’s president from 2010 to 2015.
  • E. Željko Obradović
    Željko Obradović is a legendary Serbian basketball coach widely regarded as one of the most successful and decorated coaches in European basketball history.
  • 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_69d6ad9f464c81909db36d7e96e34b9e completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d6b0f9c8190813b6fe3f97570ac completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6348ccaf88190aeb0dfb7fe1d8dec completed May 2, 2026, 5:29 p.m.
Created at: April 8, 2026, 9:55 p.m.