Triple

T5937269
Position Surface form Disambiguated ID Type / Status
Subject 99 Problems E132072 entity
Predicate featuresSocialCommentaryOn P26448 FINISHED
Object racial profiling 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: racial profiling | Statement: [99 Problems, featuresSocialCommentaryOn, racial profiling]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresSocialCommentaryOn
Context triple: [99 Problems, featuresSocialCommentaryOn, racial profiling]
  • A. commentaryFocus
    Indicates that an item of commentary is primarily directed toward or centered on a particular entity, topic, or aspect.
  • B. metaCommentaryOn
    Indicates that one piece of content provides commentary, reflection, or analysis about another piece of content, often discussing its form, structure, or status as a work rather than its subject matter.
  • C. featuresTopic chosen
    Indicates that something (such as a work, event, or item) prominently includes, focuses on, or is organized around a particular topic.
  • D. commentaryOn
    Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
  • E. socialFeature
    Indicates that one entity provides or participates in a social interaction capability or function involving other entities.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03f26f51881908cc253fe5775a1fc completed March 22, 2026, 7:12 p.m.
PD Predicate disambiguation batch_69c03355caf08190b960563a1aed23f9 completed March 22, 2026, 6:22 p.m.
Created at: March 22, 2026, 4:01 p.m.