Triple

T20207009
Position Surface form Disambiguated ID Type / Status
Subject Michel Tapié E493377 entity
Predicate associatedWith P37 FINISHED
Object Georges Mathieu NE NERFINISHED

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: Georges Mathieu | Statement: [Michel Tapié, associatedWith, Georges Mathieu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georges Mathieu
Context triple: [Michel Tapié, associatedWith, Georges Mathieu]
  • A. Georges Mathieu chosen
    Georges Mathieu was a French painter and leading figure of Lyrical Abstraction, known for his rapid, calligraphic, and highly gestural abstract works.
  • B. Marcel Vallée
    Marcel Vallée was a French actor known for his roles in early 20th-century French cinema, including appearances in notable films of the 1930s.
  • C. Léo Ferré
    Léo Ferré was a French singer-songwriter, poet, and composer renowned for his anarchist spirit, literary lyrics, and influential role in 20th-century chanson.
  • D. Claude Nougaro
    Claude Nougaro was a French singer-songwriter and poet renowned for blending chanson with jazz, Latin, and African rhythms in his inventive, wordplay-rich songs.
  • E. Jean Fournet
    Jean Fournet was a distinguished French conductor renowned for his interpretations of French repertoire and his leadership of major European orchestras in the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d934f808190bbfeb96f5bf2dfb9 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.