Triple

T11861511
Position Surface form Disambiguated ID Type / Status
Subject Clean, Old-Fashioned Hate E282168 entity
Predicate featuresBandTraditions P40946 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: [Clean, Old-Fashioned Hate, featuresBandTraditions, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: featuresBandTraditions
Context triple: [Clean, Old-Fashioned Hate, featuresBandTraditions, yes]
  • A. musicTradition
    Indicates a relationship where one entity follows, embodies, or belongs to a particular musical tradition or style associated with another entity.
  • B. featuresMarchingBands chosen
    Indicates that something includes or presents marching bands as part of its content or composition.
  • C. basedInGenreTradition
    Indicates that something (such as a work or practice) is grounded in, follows, or is shaped by the conventions and traditions of a particular genre.
  • D. culturalTradition
    Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
  • E. languageTraditions
    Indicates that there is a relationship between entities involving the customs, practices, and conventions associated with the use, preservation, or transmission of a particular language.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69b16bc8190999a0c1240f9ce6a completed April 10, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69d8a2573dbc8190ab432e8e28fde6cc completed April 10, 2026, 7:10 a.m.
Created at: April 8, 2026, 9:43 p.m.