Triple

T24438046
Position Surface form Disambiguated ID Type / Status
Subject Virginia Galilei E616177 entity
Predicate hadIllegitimateBirthStatus P156131 FINISHED
Object true 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: true | Statement: [Virginia Galilei, hadIllegitimateBirthStatus, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hadIllegitimateBirthStatus
Context triple: [Virginia Galilei, hadIllegitimateBirthStatus, true]
  • A. illegitimateChildOf
    Indicates that one person is the child of another, but the parent–child relationship is not recognized as lawful or legitimate under the relevant social or legal norms.
  • B. hasIllegitimateChildrenWith
    Indicates that one entity and another have conceived or parented children together who are considered illegitimate (born outside a legally or socially recognized union).
  • C. illegitimacyDeclaredBy
    Indicates that an authority or entity has formally declared a person, status, or act to be illegitimate.
  • D. spouseIllegitimacyStatus
    Indicates the legal or social legitimacy status (e.g., legitimate, illegitimate) of a person’s spouse within the context of their relationship.
  • E. numberOfIllegitimateChildren
    Indicates the count of children a person has who are considered illegitimate according to a given legal or social standard.
  • 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_69e2d7ec44b081909ccaf1f3bbec0641 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f297881fa08190b82bdc5ebeae96f7 completed April 29, 2026, 11:43 p.m.
PD Predicate disambiguation batch_69f287d3237c819099559c00f83131d8 completed April 29, 2026, 10:36 p.m.
PDg Predicate description generation batch_69f28f4d978c81908310c01def2514cc completed April 29, 2026, 11:07 p.m.
Created at: April 18, 2026, 2:16 a.m.