Triple

T5254114
Position Surface form Disambiguated ID Type / Status
Subject Shenanigans E118656 entity
Predicate basedOnMaterialFrom P7125 FINISHED
Object Dookie era recording sessions 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: Dookie era recording sessions | Statement: [Shenanigans, basedOnMaterialFrom, Dookie era recording sessions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: basedOnMaterialFrom
Context triple: [Shenanigans, basedOnMaterialFrom, Dookie era recording sessions]
  • A. featuresMaterialFrom
    Indicates that one entity incorporates, contains, or is composed of material originating from another entity.
  • B. basedOnBy
    Indicates that one entity is derived from, justified by, or constructed using another entity as its source, foundation, or reference.
  • C. materialUsed
    Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
  • D. isBasedOn chosen
    Indicates that one entity is derived from, inspired by, or developed using the content, structure, or principles of another entity.
  • E. areBasedOn
    Indicates that one entity is founded, derived, or developed from the principles, content, or structure of another entity.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba1cca88190bebd516851b9bf7f completed March 20, 2026, 4:53 p.m.
PD Predicate disambiguation batch_69bd77c30bac8190a883ca45da35d667 completed March 20, 2026, 4:37 p.m.
Created at: March 20, 2026, 1:50 p.m.