Triple

T29220116
Position Surface form Disambiguated ID Type / Status
Subject Pull Me Under E740783 entity
Predicate hasKeyboardStyle P177141 FINISHED
Object atmospheric keyboards 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: atmospheric keyboards | Statement: [Pull Me Under, hasKeyboardStyle, atmospheric keyboards]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyboardStyle
Context triple: [Pull Me Under, hasKeyboardStyle, atmospheric keyboards]
  • A. hasKeyboard
    Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
  • B. hasKeyboardRange
    Indicates that one entity possesses or supports a specified span of keys or notes across a keyboard-based input or instrument.
  • C. hasKeyboardCount
    Indicates the number of keyboards associated with a given entity.
  • D. supportsKeyboard
    Indicates that one entity is compatible with or able to be operated using a keyboard as an input method.
  • E. hasKeypadLayout
    Indicates that one entity possesses or uses a specific arrangement or configuration of keys or buttons provided by another entity.
  • F. None of above. chosen

Provenance (4 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_69f07cba2f808190a2746477d4e8345b completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69f6f85bfba48190aba95b40642a8ca7 completed May 3, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69f6f65fd1d08190b88e5e68ba268500 completed May 3, 2026, 7:16 a.m.
PDg Predicate description generation batch_69f6f854486c81909396d944a55e03ab completed May 3, 2026, 7:25 a.m.
Created at: April 28, 2026, 12:15 p.m.