Triple

T6392950
Position Surface form Disambiguated ID Type / Status
Subject Gianna Nannini E143871 entity
Predicate associatedAct P37 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: [Gianna Nannini, associatedAct, Andrea Bocelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Bocelli
Context triple: [Gianna Nannini, associatedAct, 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. Luciano Pavarotti
    Luciano Pavarotti was a world-renowned Italian operatic tenor celebrated for his powerful, expressive voice and iconic performances in roles such as Calaf in Puccini's "Turandot."
  • 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_69c008db906c819096f3597d55d95432 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0687f5c6c81909c835329c996b311 completed March 22, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6388f42648190adbc2d1c1efa75a5 completed March 27, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:34 p.m.