Triple

T16287701
Position Surface form Disambiguated ID Type / Status
Subject Be Good E395431 entity
Predicate recordLabel P1500 FINISHED
Object Motéma Music E395433 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: Motéma Music | Statement: [Be Good, recordLabel, Motéma Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motéma Music
Context triple: [Be Good, recordLabel, Motéma Music]
  • A. Motéma Music chosen
    Motéma Music is an independent record label known for its focus on jazz, world, and soul music, and for launching and supporting acclaimed artists such as Gregory Porter.
  • B. Machete Music
    Machete Music is a prominent Latin urban music label known for representing leading reggaeton and Latin hip-hop artists.
  • C. Mango Records
    Mango Records is a record label imprint known for releasing reggae, world music, and alternative artists under the Island Records umbrella.
  • D. Nevado Music
    Nevado Music is an independent record label known for releasing music by artists such as Low Roar and other alternative and indie acts.
  • E. SharpTone Records
    SharpTone Records is an independent rock and metal record label known for signing prominent post-hardcore and alternative bands.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24915a5948190a11b8e83b7974dda completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017caaa448190a5034ddbd90d2fd5 completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.