Triple

T2450727
Position Surface form Disambiguated ID Type / Status
Subject Miroslav Ondříček E53695 entity
Predicate workedOn P3 FINISHED
Object Valmont E267555 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: Valmont | Statement: [Miroslav Ondříček, workedOn, Valmont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Valmont
Context triple: [Miroslav Ondříček, workedOn, Valmont]
  • A. Valmont
    Valmont is a locality in Switzerland known as the place where the poet Rainer Maria Rilke died.
  • B. Valmont chosen
    Valmont is a 1989 period drama film directed by Miloš Forman, adapting the novel "Les Liaisons dangereuses" and known for its lush cinematography by Miroslav Ondříček.
  • C. Casanova
    Casanova is a 2005 British television drama serial written by Russell T Davies that reimagines the life and loves of the famed 18th-century adventurer Giacomo Casanova.
  • D. Coquette
    Coquette is a 1929 American pre-Code drama film best known for earning Mary Pickford an Academy Award for Best Actress in one of her first sound film roles.
  • E. Harlequinade
    Harlequinade is a one-act play by Terence Rattigan, often performed alongside *The Browning Version*, that offers a light, farcical backstage comedy contrasting with its companion piece’s serious tone.
  • 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_69ab495d227c8190b26ae6548eeb1019 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd0f402b48190b871b2475983af7e completed March 7, 2026, 7:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17907f48819092f197ba14459b17 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:43 p.m.