Triple

T5092797
Position Surface form Disambiguated ID Type / Status
Subject Miquel E114791 entity
Predicate hasEquivalentName P3889 FINISHED
Object Michele E124474 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: Michele | Statement: [Miquel, hasEquivalentName, Michele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele
Context triple: [Miquel, hasEquivalentName, 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 central character in Beethoven’s opera "Fidelio," serving as the prison jailer whose actions and moral choices significantly influence the drama’s unfolding.
  • D. Rocco
    Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
  • E. Guglielmino
    Guglielmino is an Italian given name, typically considered a diminutive or variant of Guglielmo (the Italian form of William).
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd754369708190bf4e171a904a19e1 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec360a5848190a243da780b53559c completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:40 p.m.