Triple

T6385519
Position Surface form Disambiguated ID Type / Status
Subject Emotions E143689 entity
Predicate variesAcross P3474 FINISHED
Object Individuals 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: Individuals | Statement: [Emotions, variesAcross, Individuals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: variesAcross
Context triple: [Emotions, variesAcross, Individuals]
  • A. viewVariesAmong chosen
    Indicates that the way something is viewed, perceived, or interpreted differs across multiple entities or contexts.
  • B. varietyOf
    Indicates that one entity is a specific type, kind, or variant of another, more general entity.
  • C. usageVariesBy
    Indicates that the way something is used differs depending on a specified factor, such as context, user, location, or conditions.
  • D. termVariesBy
    Indicates that the value or meaning of a term changes depending on a specified factor, such as context, dimension, or condition.
  • E. structureVariesBy
    Indicates that the structure or configuration of one entity changes depending on or is different for another specified factor or context.
  • 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_69c008dac1ec81909cef8157ccd69962 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0686764648190864163d390db292d completed March 22, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69c060eff524819094cee1c70a0c1ff4 completed March 22, 2026, 9:36 p.m.
Created at: March 22, 2026, 4:34 p.m.