Triple

T22506230
Position Surface form Disambiguated ID Type / Status
Subject Nicola Francesco Haym E556394 entity
Predicate wroteLibrettoFor P1360 FINISHED
Object Lotario 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: Lotario | Statement: [Nicola Francesco Haym, wroteLibrettoFor, Lotario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotario
Context triple: [Nicola Francesco Haym, wroteLibrettoFor, Lotario]
  • A. Guino Rinaldo
    Guino Rinaldo is a key supporting gangster character in the 1932 crime film "Scarface," serving as the loyal friend and right-hand man to the protagonist Tony Camonte.
  • B. Rolando
    Rolando is a masculine given name, commonly used in Romance-language countries, that is a variant of the name Orlando/Roland.
  • C. Lisardo
    Lisardo is a Mexican actor and singer known for his roles in telenovelas and television series.
  • D. Aroldo chosen
    Aroldo is a lesser-known opera by Italian composer Giuseppe Verdi, adapted from his earlier work Stiffelio and set in medieval England and Scotland.
  • E. Valente
    Valente is a supporting character in the television sitcom "Zoe Ever After," involved in the personal and professional life of the main character, Zoe.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5cddf88190821d9c9fdee84160 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.