Triple

T8151501
Position Surface form Disambiguated ID Type / Status
Subject Michael Laudrup E190343 entity
Predicate memberOfSportsTeam P330 FINISHED
Object Juventus FC E28187 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: Juventus FC | Statement: [Michael Laudrup, memberOfSportsTeam, Juventus FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juventus FC
Context triple: [Michael Laudrup, memberOfSportsTeam, Juventus FC]
  • A. Juventus FC chosen
    Juventus FC is a historically dominant Italian football club based in Turin, renowned for its numerous Serie A titles and regular presence in European competitions.
  • B. Inter Milan
    Inter Milan is a professional Italian football club based in Milan, renowned for its success in Serie A and European competitions.
  • C. AC Milan
    AC Milan is a historic and highly successful Italian football club based in Milan, renowned for its numerous domestic titles and European Cup/Champions League triumphs.
  • D. Torino F.C.
    Torino F.C. is a historic Italian professional football club based in Turin, known for its rich tradition and passionate fanbase in Serie A.
  • E. A.S. Roma
    A.S. Roma is a professional Italian football club based in Rome that competes in Serie A and is known for its passionate fanbase and historic rivalries.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4483799c81908e73f9a87ed99185 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69cea7e73fd481908d3b788a26e62367 completed April 2, 2026, 5:31 p.m.
Created at: March 30, 2026, 5:37 p.m.