Triple

T888734
Position Surface form Disambiguated ID Type / Status
Subject Mister Secretary E19189 entity
Predicate hasLeadCharacterGender P21355 FINISHED
Object male LITERAL GENERATED

How this triple was built (1 step)

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.

PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLeadCharacterGender
Context triple: [Mister Secretary, hasLeadCharacterGender, male]
  • A. hasFemaleEquivalent
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • B. hasGenderFocus
    Indicates that something is specifically concerned with, oriented toward, or primarily addressing a particular gender or gender-related issues.
  • C. leadActress
    Indicates that the subject is the primary female performer in the specified film, show, or production.
  • D. hasGenderedTitle
    Indicates that an entity is associated with a title or form of address that is explicitly marked for a particular gender.
  • E. hasGenderSystem
    Indicates that an entity employs or is characterized by a particular system for categorizing gender.
  • F. None of above. chosen

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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
PD Predicate disambiguation batch_69a4aa9227ec8190a726456fc77c3ebb completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ae8e58a881908b3f181f38a2c3d9 completed March 1, 2026, 9:24 p.m.
Created at: March 1, 2026, 7:39 p.m.