Triple

T12242961
Position Surface form Disambiguated ID Type / Status
Subject Franco Corelli E291780 entity
Predicate name P16 FINISHED
Object Franco Corelli E291780 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: Franco Corelli | Statement: [Franco Corelli, name, Franco Corelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Franco Corelli
Context triple: [Franco Corelli, name, Franco Corelli]
  • A. Franco Corelli chosen
    Franco Corelli was a renowned Italian dramatic tenor celebrated for his powerful voice, thrilling high notes, and charismatic stage presence in the mid-20th-century opera world.
  • B. Angelo Bergonzi
    Angelo Bergonzi was an Italian military officer who commanded Italian forces during the colonial-era Battle of Agordat in Eritrea.
  • C. Cesare Siepi
    Cesare Siepi was a renowned Italian operatic bass celebrated for his powerful voice and distinguished performances on major international stages, particularly at La Scala and the Metropolitan Opera.
  • D. Alice Pavarotti
    Alice Pavarotti is one of the daughters of legendary Italian operatic tenor Luciano Pavarotti.
  • E. Sergio Franchi
    Sergio Franchi was an Italian-born tenor and popular singer who became a prominent concert, recording, and television performer in the United States during the 1960s and 1970s.
  • 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_69d6ab67950c8190be08450a06228c4b completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb724448190be29fc1d2b946ab7 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab5a404819089f9ea868deda10c completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.