Triple

T12526255
Position Surface form Disambiguated ID Type / Status
Subject MIDI E299447 entity
Predicate initiallySupportedBy P74448 FINISHED
Object Roland Corporation E330222 NE 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: Roland Corporation | Statement: [MIDI, initiallySupportedBy, Roland Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roland Corporation
Context triple: [MIDI, initiallySupportedBy, Roland Corporation]
  • A. Roland Corporation chosen
    Roland Corporation is a Japanese electronic musical instrument manufacturer renowned for its synthesizers, drum machines, and digital pianos that have shaped modern music production.
  • B. Korg
    Korg is a rock-like Kronan warrior from the Marvel universe, best known as a humorous ally of Thor who appears in the Marvel Cinematic Universe films.
  • C. Kawai Musical Instruments
    Kawai Musical Instruments is a Japanese company renowned worldwide for manufacturing high-quality pianos, keyboards, and other musical instruments.
  • D. Yamaha Corporation
    Yamaha Corporation is a Japanese multinational conglomerate best known for producing musical instruments, audio equipment, and a wide range of electronics.
  • E. Kawada Industries
    Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545d7e6c819080c3a85c18caa1ae completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc393808190add527030a928517 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:57 p.m.