Triple

T18637352
Position Surface form Disambiguated ID Type / Status
Subject Rise E455586 entity
Predicate recordLabel P1500 FINISHED
Object earMUSIC NE NERFINISHED

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: earMUSIC | Statement: [Rise, recordLabel, earMUSIC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: earMUSIC
Context triple: [Rise, recordLabel, earMUSIC]
  • A. earMUSIC chosen
    earMUSIC is an international rock and pop record label and division of Edel AG known for releasing albums by established and influential artists.
  • B. Ultimate Ears
    Ultimate Ears is an audio equipment brand best known for its portable Bluetooth speakers and in-ear monitors.
  • C. EAR2
    EAR2 is a high-flux experimental area and beam line at CERN’s n_TOF facility used for precision neutron time-of-flight measurements in nuclear physics research.
  • D. Audion
    Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
  • E. Aura Music
    Aura Music is a music-related entity associated with Puerto Rican reggaeton and Latin trap artist Ozuna, likely involved in the production or promotion of his work.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54fc9fa6c81909e1b988bdfb5ebcc completed April 19, 2026, 9:57 p.m.
Created at: April 10, 2026, 11:47 a.m.