Triple

T14302993
Position Surface form Disambiguated ID Type / Status
Subject Théodore Roussel E354615 entity
Predicate name P16 FINISHED
Object Théodore Roussel E354615 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: Théodore Roussel | Statement: [Théodore Roussel, name, Théodore Roussel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Théodore Roussel
Context triple: [Théodore Roussel, name, Théodore Roussel]
  • A. Théodore Roussel chosen
    Théodore Roussel was a French-born British painter known for his atmospheric landscapes and intimate interior scenes, often associated with the late 19th-century London art world.
  • B. Émile Maupas
    Émile Maupas was a French zoologist and protozoologist known for pioneering work in nematode biology, including the early characterization of the model organism Caenorhabditis elegans.
  • C. Henri Harpignies
    Henri Harpignies was a 19th-century French landscape painter known for his lyrical, atmospheric scenes and association with the Barbizon school.
  • D. Henri de Régnier
    Henri de Régnier was a prominent French Symbolist poet and novelist known for his refined, melancholic style and exploration of dreamlike, introspective themes.
  • E. Guillaume Roussel
    Guillaume Roussel is a French composer known for his work on film, television, and video game scores.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717fc2348190bb6ba3109bd2871f completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007581ba008190a6d558c8f4e861d6 completed May 10, 2026, 12:09 p.m.
Created at: April 10, 2026, 1:12 a.m.