Triple

T20875683
Position Surface form Disambiguated ID Type / Status
Subject Judy Collins #3 E514011 entity
Predicate includesTraditionalMaterial P44882 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: [Judy Collins #3, includesTraditionalMaterial, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesTraditionalMaterial
Context triple: [Judy Collins #3, includesTraditionalMaterial, yes]
  • A. traditionalMaterial
    Indicates that something is made from, incorporates, or is characterized by materials associated with long-established or customary practices.
  • B. buildingMaterialTradition
    Indicates the customary or historically established use of particular materials in the construction of a building or structure.
  • C. traditionallyIncludes chosen
    Indicates that something customarily or historically contains or incorporates something else as a standard or expected part.
  • D. usesFolkMaterial
    Indicates that one entity incorporates or draws upon traditional folk materials, such as melodies, stories, or motifs, in relation to another entity.
  • E. hasArchitecturalMaterial
    Indicates that something is constructed from, incorporates, or is characterized by a particular architectural material.
  • 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_69e0b4f675cc8190b4e745225b62eb66 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c674f68c8190a7b43aeea5b9b976 completed April 21, 2026, 12:36 a.m.
PD Predicate disambiguation batch_69e5c9a8dc148190b33ff51894e2a8f9 completed April 20, 2026, 6:37 a.m.
Created at: April 16, 2026, 12:45 p.m.