Triple

T33033894
Position Surface form Disambiguated ID Type / Status
Subject Eva Pogner E845249 entity
Predicate betrothedByContest P175722 FINISHED
Object winner of the mastersinging contest LITERAL 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: winner of the mastersinging contest | Statement: [Eva Pogner, betrothedByContest, winner of the mastersinging contest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: betrothedByContest
Context triple: [Eva Pogner, betrothedByContest, winner of the mastersinging contest]
  • A. rivalForMarriageOf
    Indicates that one entity is a romantic competitor with another entity for the opportunity to marry a specific third entity.
  • B. betrothedByFatherTo
    Indicates that an individual is formally promised or given in marriage to another person by their father’s decision or arrangement.
  • C. contestedBy
    Indicates that one party challenges, disputes, or opposes a claim, decision, or position held by another party.
  • D. betrothalType
    Indicates the specific kind or category of engagement or promised marriage relationship that exists between two parties.
  • E. betrothalEnd
    Indicates that a previously established engagement or betrothal between two parties has been terminated or dissolved.
  • F. None of above. chosen

Provenance (4 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_69f34951348c8190b56746b0a7018182 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
PD Predicate disambiguation batch_69f6d27120988190aacec621cf2bf0e8 completed May 3, 2026, 4:43 a.m.
PDg Predicate description generation batch_69f6d6a482fc8190b526291cd99b8696 completed May 3, 2026, 5:01 a.m.
Created at: May 1, 2026, 1:24 a.m.