Triple

T17309645
Position Surface form Disambiguated ID Type / Status
Subject Humberto Gatica E420258 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Andrea Bocelli E114851 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: Andrea Bocelli | Statement: [Humberto Gatica, hasCollaboratedWith, Andrea Bocelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Bocelli
Context triple: [Humberto Gatica, hasCollaboratedWith, Andrea Bocelli]
  • A. Andrea Bocelli chosen
    Andrea Bocelli is an Italian tenor renowned worldwide for his powerful yet delicate voice and crossover success in both classical and pop music.
  • B. Amos Bocelli
    Amos Bocelli is one of Italian tenor Andrea Bocelli’s sons, known for occasionally appearing and performing alongside his father.
  • C. Matteo Bocelli
    Matteo Bocelli is an Italian singer and songwriter, known both for his solo pop-classical work and for performing alongside his father, tenor Andrea Bocelli.
  • D. Alice Pavarotti
    Alice Pavarotti is one of the daughters of legendary Italian operatic tenor Luciano Pavarotti.
  • E. Giuliana Pavarotti
    Giuliana Pavarotti is one of the daughters of legendary Italian operatic tenor Luciano Pavarotti.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439970cf08190bc9e49ba830da0d9 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e30934819087b7c838c8874aff completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.