Triple

T13114310
Position Surface form Disambiguated ID Type / Status
Subject Mundugumor E311053 entity
Predicate genderRoleCharacterization P69451 FINISHED
Object both sexes described as aggressive 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: both sexes described as aggressive | Statement: [Mundugumor, genderRoleCharacterization, both sexes described as aggressive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: genderRoleCharacterization
Context triple: [Mundugumor, genderRoleCharacterization, both sexes described as aggressive]
  • A. genderRoleSignificance
    Indicates the extent to which gender roles are considered important, influential, or defining within a given relationship, context, or interaction.
  • B. genderImplication
    Indicates that one entity’s gender suggests, constrains, or determines the possible or likely gender of another entity.
  • C. genderCategories
    Indicates the classification of an entity into one or more gender-related categories or identities.
  • D. genderConfiguration
    Indicates how the genders of the involved entities are arranged or combined within a particular relationship or context.
  • E. hasGenderRole chosen
    Indicates that an entity is associated with, or expected to perform, a particular socially defined gender-based role or set of behaviors.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
PD Predicate disambiguation batch_69d98041a3548190a05ddd83dbb660fa completed April 10, 2026, 10:57 p.m.
Created at: April 9, 2026, 9:06 p.m.