Triple

T3087055
Position Surface form Disambiguated ID Type / Status
Subject Ebony and Ivory E64395 entity
Predicate metaphor P129 FINISHED
Object piano keys 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: piano keys | Statement: [Ebony and Ivory, metaphor, piano keys]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: metaphor
Context triple: [Ebony and Ivory, metaphor, piano keys]
  • A. primaryMetaphor
    Indicates a fundamental conceptual mapping where one domain (often concrete or physical) is systematically understood in terms of another (often abstract), forming a basic metaphorical relationship between them.
  • B. keyMetaphor
    Indicates that one entity functions as a central or primary metaphor used to conceptualize, explain, or structure understanding of another entity.
  • C. rhetoricalDevice
    Indicates that one entity is used as a rhetorical device in relation to another, such as a figure of speech, stylistic technique, or persuasive strategy within a discourse.
  • D. synonym
    Indicates that two terms have the same or nearly the same meaning in a given context.
  • E. symbolizes chosen
    Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1ec187c819084565514ebb99cdb completed March 8, 2026, 4:21 p.m.
PD Predicate disambiguation batch_69ad9ded78f881908be6fc0fb7c35764 completed March 8, 2026, 4:03 p.m.
Created at: March 8, 2026, 3:03 p.m.