Triple

T14142544
Position Surface form Disambiguated ID Type / Status
Subject Massimiliano Allegri E350461 entity
Predicate employer P7 FINISHED
Object Juventus F.C. 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 F.C. | Statement: [Massimiliano Allegri, employer, Juventus F.C.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juventus F.C.
Context triple: [Massimiliano Allegri, employer, Juventus F.C.]
  • 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_69d827865f608190b311820428ae027b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de611ed3508190add37baa30d1d134 completed April 14, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd949df6688190ac92f7e0945bce02 completed May 8, 2026, 7:45 a.m.
Created at: April 10, 2026, 12:51 a.m.