Triple

T29027796
Position Surface form Disambiguated ID Type / Status
Subject Genoveva E737641 entity
Predicate hasSpouseInOpera P30304 FINISHED
Object Siegfried 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: Siegfried | Statement: [Genoveva, hasSpouseInOpera, Siegfried]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSpouseInOpera
Context triple: [Genoveva, hasSpouseInOpera, Siegfried]
  • A. hasSpouseActorsInLeads
    Indicates that the primary leading roles in a work are performed by actors who are spouses of each other.
  • B. hasSpouseInBand
    Indicates that a person has a spouse who is a member of the same band.
  • C. hasSpouseInTVSeries
    Indicates that one person is the spouse of another person within the context of a specific TV series.
  • D. hasSpouseInStory chosen
    Indicates that one entity is depicted as the spouse of another within the context of a particular story or narrative.
  • E. spouseAppearsIn
    Indicates that the spouse of a given person appears or is featured in a specified work, context, or setting.
  • F. None of above.

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_69f077ef00fc81909325f084ad37c035 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f7b5ccbda481908fe1945c35e36ce8 completed May 3, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69f7b4c06f5881908f0b98cad6796478 completed May 3, 2026, 8:49 p.m.
Created at: April 28, 2026, 9:53 a.m.