Triple

T16387295
Position Surface form Disambiguated ID Type / Status
Subject Simon Vouet E397955 entity
Predicate notableWork P4 FINISHED
Object The Fortune Teller E1070847 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: The Fortune Teller | Statement: [Simon Vouet, notableWork, The Fortune Teller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Fortune Teller
Context triple: [Simon Vouet, notableWork, The Fortune Teller]
  • A. The Fortune Teller
    The Fortune Teller is a 17th-century genre painting by French Baroque artist Georges de La Tour, depicting a young man being secretly robbed by fortune-telling women in a dramatically lit, intimate scene.
  • B. The Fortune Teller chosen
    The Fortune Teller is a Baroque painting by Valentin de Boulogne depicting a scene of deception and fortune-telling in a dramatic, chiaroscuro style.
  • C. The Fortune Teller
    The Fortune Teller is an adult film featuring legendary pornographic actor John Holmes in one of his notable performances.
  • D. The Fortune Teller
    The Fortune Teller is a Baroque-era painting by Italian artist Giovanni Battista Piazzetta, known for its dramatic chiaroscuro and intimate depiction of a fortune-telling scene.
  • E. The Fortune Teller
    The Fortune Teller is a comic opera by composer Victor Herbert that blends lighthearted romance, mistaken identities, and lively melodies in a Central European setting.
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3263e1534819081a6bf5006c611c5 completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00356ed47c819085aaf101459dd55c completed May 10, 2026, 7:36 a.m.
Created at: April 10, 2026, 5:08 a.m.