Triple

T3764558
Position Surface form Disambiguated ID Type / Status
Subject Blame Game E82637 entity
Predicate hasPianoInstrumentation P24000 FINISHED
Object true 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: true | Statement: [Blame Game, hasPianoInstrumentation, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPianoInstrumentation
Context triple: [Blame Game, hasPianoInstrumentation, true]
  • A. hasPianoArrangement
    Indicates that one entity has a version or adaptation of it arranged specifically for piano.
  • B. hasPianos
    Indicates that one entity possesses, contains, or includes one or more pianos in relation to another entity.
  • C. hasOrchestralFeature
    Indicates that something includes, exhibits, or is characterized by a notable orchestral element or component.
  • D. usesInstrument
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • E. hasMusicalInstrument chosen
    Indicates that one entity possesses, uses, or is associated with a particular musical instrument.
  • 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_69ad8b207b0081909d2b48843fbd8795 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcbfd4be481908242c460a3f00c56 completed March 8, 2026, 7:20 p.m.
PD Predicate disambiguation batch_69adc04c851c8190ae5eaebf36df539b completed March 8, 2026, 6:30 p.m.
Created at: March 8, 2026, 3:35 p.m.