Triple

T19895785
Position Surface form Disambiguated ID Type / Status
Subject Hammond organ E478147 entity
Predicate hasSuccessorTechnology P32013 FINISHED
Object digital Hammond clones 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: digital Hammond clones | Statement: [Hammond organ, hasSuccessorTechnology, digital Hammond clones]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSuccessorTechnology
Context triple: [Hammond organ, hasSuccessorTechnology, digital Hammond clones]
  • A. hasModernSuccessor chosen
    Indicates that an entity is followed or replaced by another entity that serves as its modern equivalent or continuation.
  • B. laterUsedTechnology
    Indicates that one entity adopted or employed a technology after another entity had already used it.
  • C. technologyLevelComparedToPredecessor
    Indicates how the technology level of an entity compares to that of its immediate predecessor.
  • D. successorEngineFamily
    Indicates that one engine family directly follows and replaces another in a product or development lineage.
  • E. successorManufacturer
    Indicates that one manufacturer has taken over, replaced, or continued the role or operations of another manufacturer as its successor.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6593cb45881909cc34a9c601db001 completed April 20, 2026, 4:50 p.m.
PD Predicate disambiguation batch_69e537ecda248190895c96afb6243823 completed April 19, 2026, 8:15 p.m.
Created at: April 10, 2026, 1:52 p.m.