Triple

T12884192
Position Surface form Disambiguated ID Type / Status
Subject Études philosophiques E308181 entity
Predicate hasPart P35 FINISHED
Object Facino Cane E310110 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: Facino Cane | Statement: [Études philosophiques, hasPart, Facino Cane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Facino Cane
Context triple: [Études philosophiques, hasPart, Facino Cane]
  • A. Facino Cane chosen
    Facino Cane is a short story by Honoré de Balzac, included in his vast literary cycle La Comédie humaine, that explores themes of obsession, lost nobility, and human misery through the tale of a blind Venetian nobleman.
  • B. Carletto
    Carletto is an Italian diminutive form of the given name Carlo, typically used as an affectionate nickname.
  • C. Mordo
    Mordo is a powerful sorcerer and frequent adversary of Doctor Strange in Marvel Comics, often portrayed as a former ally turned villain.
  • D. Reynard
    Reynard is a traditional European folkloric fox character, especially prominent in medieval tales as a clever trickster figure.
  • E. Tommasa Malifici
    Tommasa Malifici was the wife of the early Italian Renaissance painter Paolo Uccello.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714208f881908f7f8a921362909a completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5556fe081909ada9d491b21b17b completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.