Triple

T1630820
Position Surface form Disambiguated ID Type / Status
Subject Desiigner E35251 entity
Predicate signedTo P30399 FINISHED
Object GOOD Music E5585 NE FINISHED

How this triple was built (3 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: [Desiigner, signedTo, GOOD Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GOOD Music
Context triple: [Desiigner, signedTo, 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. Good Vibes
    Good Vibes is an animated television series known for its raunchy teen comedy set in a Southern California surf town.
  • C. Gutes
    The Gutes were the North Germanic inhabitants of the Baltic island of Gotland, known for their distinct Gutnish language and extensive Viking Age trade networks.
  • D. MUS
    MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
  • E. MUS
    MUS is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritius for international identification and data standards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signedTo
Context triple: [Desiigner, signedTo, GOOD Music]
  • A. signedFor
    Indicates that one entity formally accepted or acknowledged receipt of something on behalf of another, typically by providing a signature.
  • B. signedAs
    Indicates that an entity has signed or endorsed something using a particular name, role, or identity.
  • C. signedAfter
    Indicates that one signing event occurred later in time than another signing event.
  • D. signedDuring
    Indicates that an agreement, document, or contract was signed within a specified time period or during a particular event.
  • E. hasSignFor
    Indicates that one entity displays, bears, or provides a sign, symbol, or notice that represents, directs attention to, or gives information about another entity.
  • F. None of above. chosen

Provenance (5 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9431af5ac8190893133f1ae490142 completed March 5, 2026, 8:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58d3808c819086a4a66e66905e8a completed March 8, 2026, 11:09 a.m.
PD Predicate disambiguation batch_69a907c91c888190b6ed295c1a2e0977 completed March 5, 2026, 4:34 a.m.
PDg Predicate description generation batch_69a94319becc819089c2daf45fe08a0c completed March 5, 2026, 8:47 a.m.
Created at: March 4, 2026, 7:28 p.m.