Triple

T22559937
Position Surface form Disambiguated ID Type / Status
Subject Michele di Lando E557784 entity
Predicate givenName P17 FINISHED
Object Michele 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: Michele | Statement: [Michele di Lando, givenName, Michele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele
Context triple: [Michele di Lando, givenName, Michele]
  • A. Michele chosen
    Michele is a given name used as a variant of Michael in various languages and cultures.
  • B. Mornello
    Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
  • C. Rocco
    Rocco is a masculine given name of Italian origin commonly used in various European and American cultures.
  • D. Rocco
    Rocco is a central character in Beethoven’s opera "Fidelio," serving as the prison jailer whose actions and moral choices significantly influence the drama’s unfolding.
  • E. Rocco
    Rocco is a supporting character in *The Boondock Saints* who becomes an ally and accomplice to the vigilante brothers Murphy and Connor MacManus.
  • 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_69e11e59db848190b4272ecd2b690ffd completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f7c914881909584c46ae323c779 completed April 29, 2026, 1:31 a.m.
Created at: April 16, 2026, 8:52 p.m.