Triple

T12441933
Position Surface form Disambiguated ID Type / Status
Subject Portrait of Victor Hugo E297294 entity
Predicate notableWorkOfCreator P4 FINISHED
Object Léon Bonnat portrait oeuvre LITERAL 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: Léon Bonnat portrait oeuvre | Statement: [Portrait of Victor Hugo, notableWorkOfCreator, Léon Bonnat portrait oeuvre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableWorkOfCreator
Context triple: [Portrait of Victor Hugo, notableWorkOfCreator, Léon Bonnat portrait oeuvre]
  • A. notableWorkWith
    Indicates a relationship where two or more entities are recognized for having collaborated on or been jointly associated with a significant work or project.
  • B. notableWorkIn
    Indicates that an entity is known for or associated with a significant work, contribution, or achievement in a particular field or context.
  • C. notableWorkAs
    Indicates a relationship where a particular work is recognized as a significant or distinguished creation associated with an entity.
  • D. notableWork chosen
    Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
  • E. authorNotableWork
    Indicates that a person is the creator or writer of a specific notable work, such as a book, article, or other significant publication.
  • F. None of above.

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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95151e7348190a1d4953a8b416a13 completed April 10, 2026, 7:36 p.m.
PD Predicate disambiguation batch_69d94d3c27a08190a0237200203e476d completed April 10, 2026, 7:19 p.m.
Created at: April 8, 2026, 9:55 p.m.