Triple

T1502887
Position Surface form Disambiguated ID Type / Status
Subject Thierry Henry E33834 entity
Predicate playedFor P2170 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: [Thierry Henry, playedFor, Juventus FC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juventus FC
Context triple: [Thierry Henry, playedFor, 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8872fae4c81908e7d6961e6c5fa96 completed March 4, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad680440dc8190ad28ec47c5a35d28 completed March 8, 2026, 12:13 p.m.
Created at: March 4, 2026, 7:24 p.m.