Triple

T21629324
Position Surface form Disambiguated ID Type / Status
Subject Nemanja Vidić E533785 entity
Predicate playedFor P2170 FINISHED
Object Inter Milan NE NERFINISHED

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: [Nemanja Vidić, playedFor, Inter Milan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inter Milan
Context triple: [Nemanja Vidić, 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 (2 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5215ae3c81909e6dedba23822970 completed April 27, 2026, 12:09 p.m.
Created at: April 16, 2026, 6:34 p.m.