Triple

T3764654
Position Surface form Disambiguated ID Type / Status
Subject Who Will Survive in America E82639 entity
Predicate usesSpokenWordSample P42073 FINISHED
Object Gil Scott-Heron monologue 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: Gil Scott-Heron monologue | Statement: [Who Will Survive in America, usesSpokenWordSample, Gil Scott-Heron monologue]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesSpokenWordSample
Context triple: [Who Will Survive in America, usesSpokenWordSample, Gil Scott-Heron monologue]
  • A. usesSampleOfSpeechBy chosen
    Indicates that one entity employs or incorporates a sample of speech produced by another entity.
  • B. isSpokenLanguage
    Indicates that a language is used primarily for oral communication by speakers, as opposed to being only written or symbolic.
  • C. isSpokenAlong
    Indicates that something (typically a language or dialect) is used or spoken in the regions or areas that follow a particular path, boundary, or route.
  • D. usedInSpokenForm
    Indicates that something (such as a word, name, or expression) is employed in spoken language or oral communication.
  • E. includesSpokenWordAppearanceBy
    Indicates that something (such as a work, recording, or event) contains an instance where a person or entity appears through spoken words.
  • 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.