Triple

T19542179
Position Surface form Disambiguated ID Type / Status
Subject Liza Huber E488932 entity
Predicate characterIn P12208 FINISHED
Object Passions NE NERFINISHED

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: [Liza Huber, characterIn, Passions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Passions
Context triple: [Liza Huber, characterIn, Passions]
  • A. 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.
  • B. Passions
    Passions is a film by Ukrainian-Russian director Kira Muratova, known for her idiosyncratic, psychologically rich, and formally experimental style.
  • 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. Passion World
    Passion World is a jazz vocal album by Kurt Elling that explores themes of love and longing through an eclectic, globally inspired song selection.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6387442588190a2cdae60a6a940d6 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.