Triple

T11200358
Position Surface form Disambiguated ID Type / Status
Subject Jean-Pierre Léaud E265022 entity
Predicate notableWork P4 FINISHED
Object Antoine et Colette E824838 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: Antoine et Colette | Statement: [Jean-Pierre Léaud, notableWork, Antoine et Colette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Antoine et Colette
Context triple: [Jean-Pierre Léaud, notableWork, Antoine et Colette]
  • A. Antoine and Colette chosen
    Antoine and Colette is a 1962 short film by François Truffaut that continues the story of Antoine Doinel as a young man experiencing his first unrequited love.
  • B. Le Mariage
    Le Mariage is a comic novel by Diane Johnson that satirically explores Franco-American cultural clashes through the story of an impending Parisian wedding.
  • C. Les Amoureuses
    Les Amoureuses is one of Burgundy’s most celebrated and sought-after Premier Cru vineyards, renowned for producing exceptionally elegant and perfumed Pinot Noir wines.
  • D. Les Sœurs Vatard
    Les Sœurs Vatard is a naturalist novel by Joris-Karl Huysmans that portrays the lives and struggles of two working-class sisters in late 19th-century Paris.
  • E. La Cotinière
    La Cotinière is a traditional fishing port village on the Atlantic coast of France, known for its active fishing fleet and seafood market.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4970df7cc81909c3b07ead58513e8 completed April 19, 2026, 8:49 a.m.
Created at: April 8, 2026, 9:29 p.m.