Triple

T7914478
Position Surface form Disambiguated ID Type / Status
Subject Michele Timms E183784 entity
Predicate givenName P17 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: [Michele Timms, givenName, Michele]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michele
Context triple: [Michele Timms, 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 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 supporting character in *The Boondock Saints* who becomes an ally and accomplice to the vigilante brothers Murphy and Connor MacManus.
  • E. Rocco
    Rocco is a Brazilian publishing house known for releasing major international bestsellers, including works like Paulo Coelho’s "The Alchemist."
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a759b548190af2e2aa0705d7051 completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdfb8d0819089cf1268df61bcdc completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:04 p.m.