Triple

T19536439
Position Surface form Disambiguated ID Type / Status
Subject Saint Valentine E488777 entity
Predicate numberOfHistoricalFiguresAssociated P136695 FINISHED
Object multiple 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: multiple | Statement: [Saint Valentine, numberOfHistoricalFiguresAssociated, multiple]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfHistoricalFiguresAssociated
Context triple: [Saint Valentine, numberOfHistoricalFiguresAssociated, multiple]
  • A. historicalFigure
    Indicates that an entity is recognized as a notable person from the past who played a significant role in history.
  • B. historicalPeople
    Indicates that the related entities are people who lived in or are associated with a past historical period or context.
  • C. historicalFigureAssociated
    Indicates that there is a notable connection or linkage between an entity and a historical figure, such as influence, collaboration, representation, or involvement in the figure’s life or legacy.
  • D. addressesHistoricalFigure
    Indicates that one entity directly speaks or writes to a person recognized as a historical figure.
  • E. historicalRepresentative
    Indicates that one entity serves or served as an official representative or delegate of another entity in a historical context.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386f0fac819081bbc29172c8965e completed April 20, 2026, 2:30 p.m.
PD Predicate disambiguation batch_69e514c9c00481909b76bda67957e58b completed April 19, 2026, 5:45 p.m.
PDg Predicate description generation batch_69e51a23300c8190988552491d9783d7 completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:41 p.m.