Triple

T13492827
Position Surface form Disambiguated ID Type / Status
Subject Brandi Burkhardt E320678 entity
Predicate notableWork P4 FINISHED
Object Passions E85391 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: Passions | Statement: [Brandi Burkhardt, notableWork, Passions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passions
Context triple: [Brandi Burkhardt, notableWork, Passions]
  • A. Passions
    Passions is a film by Ukrainian-Russian director Kira Muratova, known for her idiosyncratic, psychologically rich, and formally experimental style.
  • B. Passions chosen
    Passions is an American daytime soap opera known for its blend of traditional melodrama with supernatural and fantasy elements, which aired on NBC from 1999 to 2007.
  • C. The Passions
    The Passions is a video art series by Bill Viola that explores intense human emotions through slow-motion, high-definition depictions of faces and bodies in states of spiritual and psychological extremity.
  • D. The Passion
    The Passion is a novel by Jeanette Winterson that blends historical fiction and magical realism to explore love, war, and obsession during the Napoleonic era.
  • E. Passionada
    Passionada is a 2002 romantic comedy-drama film set in New Bedford, Massachusetts, centered on a widowed Portuguese-American woman whose life changes when she becomes involved with a charming British gambler.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4c66008190b287e0551889d7c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463d3a948190aab07a25fd903d4e completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:43 p.m.