Triple

T6685296
Position Surface form Disambiguated ID Type / Status
Subject Andrea Pirlo E152085 entity
Predicate playedFor P2170 FINISHED
Object Inter Milan E75303 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: Inter Milan | Statement: [Andrea Pirlo, playedFor, Inter Milan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inter Milan
Context triple: [Andrea Pirlo, playedFor, Inter Milan]
  • A. Inter Milan chosen
    Inter Milan is a professional Italian football club based in Milan, renowned for its success in Serie A and European competitions.
  • B. 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.
  • C. Juventus FC
    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.
  • D. S.S.C. Napoli
    S.S.C. Napoli is a professional Italian football club based in Naples, known for its passionate fanbase and successes in Serie A and European competitions.
  • E. 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.
  • 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_69c687f9977c819097e7f5ada4fe522e completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b12483948190ba426076919edc48 completed March 27, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8569b932481909d41130303e21518 completed March 28, 2026, 10:30 p.m.
Created at: March 27, 2026, 2:04 p.m.