Triple

T14217840
Position Surface form Disambiguated ID Type / Status
Subject Diane de Castro E352404 entity
Predicate fictionalUniverse P3758 FINISHED
Object The Two Dianas E71134 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 Two Dianas | Statement: [Diane de Castro, fictionalUniverse, The Two Dianas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Two Dianas
Context triple: [Diane de Castro, fictionalUniverse, The Two Dianas]
  • A. The Two Dianas chosen
    The Two Dianas is a historical adventure novel, largely attributed to Alexandre Dumas, that intertwines romance and political intrigue in 16th-century France during the Wars of Religion.
  • B. The Rest of Diana
    The Rest of Diana is an 18th-century mythological painting by French Rococo artist Carle Van Loo depicting the Roman goddess Diana in a moment of repose.
  • C. The Lady Who Dared
    The Lady Who Dared is a 1931 American pre-Code drama film starring silent-era leading lady Billie Dove in one of her notable sound-era roles.
  • D. La caccia di Diana
    La caccia di Diana is an early mythological poem by Italian Renaissance poet Torquato Tasso, depicting the goddess Diana and her nymphs in a pastoral hunting setting.
  • E. The Lady in Red
    The Lady in Red is a 1979 crime drama film that offers a fictionalized account of John Dillinger’s last days through the perspective of one of his lovers.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de621258d4819085f358cd2cf109e4 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd28101e1881909f7a6c0cc762204c completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:06 a.m.