Triple

T197127
Position Surface form Disambiguated ID Type / Status
Subject Love in the Future E3841 entity
Predicate recordLabel P1500 FINISHED
Object GOOD Music E5585 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: GOOD Music | Statement: [Love in the Future, recordLabel, GOOD Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOOD Music
Context triple: [Love in the Future, recordLabel, GOOD Music]
  • A. GOOD Music chosen
    GOOD Music is a record label founded by Kanye West that is known for its roster of influential hip-hop and R&B artists.
  • B. Sony Urban Music
    Sony Urban Music was a division of Sony Music Entertainment focused on promoting and distributing urban and hip-hop artists and releases.
  • C. Tunes
    Tunes is a town in Portugal’s Algarve region known as a key railway junction linking major lines in the south of the country.
  • D. USIC
    USIC is the commonly used acronym for the United States Intelligence Community, the federation of U.S. government agencies responsible for intelligence and national security activities.
  • E. GU
    GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
  • 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_69a2548debd48190ae3a06d6e65b53c6 completed Feb. 28, 2026, 2:35 a.m.
NER Named-entity recognition batch_69a2598594388190a56f36fa036eac84 completed Feb. 28, 2026, 2:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69a3161cdc4c8190bc67683a1a5d39d9 completed Feb. 28, 2026, 4:21 p.m.
Created at: Feb. 28, 2026, 2:41 a.m.