Triple

T6751006
Position Surface form Disambiguated ID Type / Status
Subject French symbolism E154339 entity
Predicate hasKeyFigure P810 FINISHED
Object René Ghil E516699 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: René Ghil | Statement: [French symbolism, hasKeyFigure, René Ghil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: René Ghil
Context triple: [French symbolism, hasKeyFigure, René Ghil]
  • A. René Ghil chosen
    René Ghil was a French poet and theorist linked to the Symbolist movement, known for his experimental approach to language and sound in poetry.
  • B. Emile de Ruelle
    Emile de Ruelle was a film editor active during the early 20th century, known for his work on Alfred Hitchcock’s 1929 thriller "Blackmail."
  • C. André Massoulle
    André Massoulle was a French sculptor known for contributing decorative statuary to major Parisian monuments in the late 19th and early 20th centuries.
  • D. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • E. Victor Laloux
    Victor Laloux was a prominent French architect of the late 19th and early 20th centuries, best known for his grand Beaux-Arts railway stations and public buildings in Paris.
  • 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_69c6880ef37881909268a5a7299b9293 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1dbc3a48190a35df5dad8c630e8 completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1a0d7481908a813fa5c2e1ba6e completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.