Triple

T5842926
Position Surface form Disambiguated ID Type / Status
Subject Epoch Producing Corporation E129635 entity
Predicate hasWorkWithControversialThemes P494 FINISHED
Object racism in the United States 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: racism in the United States | Statement: [Epoch Producing Corporation, hasWorkWithControversialThemes, racism in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasWorkWithControversialThemes
Context triple: [Epoch Producing Corporation, hasWorkWithControversialThemes, racism in the United States]
  • A. roleInControversy
    Indicates the specific part, involvement, or function an entity has within a particular controversy or disputed situation.
  • B. controversialBecause
    Indicates that one entity is considered controversial specifically due to, or as a result of, its relationship with or association to another entity.
  • C. controversyType
    Indicates the specific kind or category of controversy associated with an entity or situation.
  • D. hasNotableSubject chosen
    Indicates that an entity is associated with a subject that is particularly significant, prominent, or noteworthy in relation to it.
  • E. hasNotableDebates
    Indicates that there have been significant or widely recognized debates or controversies involving the related 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03c9239e08190bff7ef2bd6d21ae0 completed March 22, 2026, 7:01 p.m.
PD Predicate disambiguation batch_69c0334412388190bc594794ec5754f9 completed March 22, 2026, 6:21 p.m.
Created at: March 22, 2026, 3:54 p.m.