Triple

T914008
Position Surface form Disambiguated ID Type / Status
Subject Academy Award for Best Actress E19726 entity
Predicate isOneOfMajorCategories P22882 FINISHED
Object yes 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: yes | Statement: [Academy Award for Best Actress, isOneOfMajorCategories, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isOneOfMajorCategories
Context triple: [Academy Award for Best Actress, isOneOfMajorCategories, yes]
  • A. hasMajorCategory
    Indicates that something is associated with or classified under a primary, overarching category.
  • B. isMajor
    Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
  • C. hasCategoryOn
    Indicates that something is assigned to or associated with a specific category within a given context or scope.
  • D. hasMajorComponent
    Indicates that one entity includes another entity as a primary or most significant component or part.
  • E. isMajorBaseIn
    Indicates that a location serves as a primary or central base of operations within a specified area or organization.
  • 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_69a4939f91a08190ba68c2c81eab90fe completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b6755c488190b7f7848110e3ea2c completed March 1, 2026, 9:58 p.m.
PD Predicate disambiguation batch_69a4b292d3408190947cbc2f794cf8c5 completed March 1, 2026, 9:41 p.m.
PDg Predicate description generation batch_69a4b67499708190a65f24d1fd7e4ec5 completed March 1, 2026, 9:58 p.m.
Created at: March 1, 2026, 7:39 p.m.