Triple

T12960180
Position Surface form Disambiguated ID Type / Status
Subject Nucingen E310119 entity
Predicate associatedWith P37 FINISHED
Object Vautrin E305297 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: Vautrin | Statement: [Nucingen, associatedWith, Vautrin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vautrin
Context triple: [Nucingen, associatedWith, Vautrin]
  • A. Vautrin chosen
    Vautrin is a cunning, charismatic criminal mastermind and recurring antihero in Honoré de Balzac’s La Comédie humaine, known for his manipulative intelligence and complex moral ambiguity.
  • B. Vauvert
    Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
  • C. Vaugier
    Vaugier is the surname of Emmanuelle Vaugier, a Canadian actress and model known for roles in television series such as "Two and a Half Men" and "Smallville."
  • D. Vénéon
    Vénéon is a mountain river in the French Alps known for its glacial waters and scenic valley in the Écrins massif.
  • E. Vieussan
    Vieussan is a small commune in southern France’s Hérault department, known for its scenic setting along the Orb River amid rugged, wine-growing countryside.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2e44908190bb8b43fc5c3b8a8a completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e264475c8190940f83c57f51585d completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 5:44 p.m.