Triple

T17184898
Position Surface form Disambiguated ID Type / Status
Subject Ministry E417078 entity
Predicate recordLabel P1500 FINISHED
Object Wax Trax! Records E1213408 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: Wax Trax! Records | Statement: [Ministry, recordLabel, Wax Trax! Records]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wax Trax! Records
Context triple: [Ministry, recordLabel, Wax Trax! Records]
  • A. Wax Trax! Records chosen
    Wax Trax! Records is a pioneering independent record label best known for popularizing industrial and electronic body music (EBM) in the 1980s and 1990s.
  • B. Roxie Records
    Roxie Records is the independent music label founded by American rock musician Lenny Kravitz to release his recordings and related projects.
  • C. Sing-A-Long Records
    Sing-A-Long Records is an independent music label known for releasing work by singer-songwriter Rosie Thomas and other indie artists.
  • D. Sunshine Records
    Sunshine Records was an early jazz record label known for releasing influential recordings by trombonist Kid Ory and other New Orleans–style jazz musicians.
  • E. Rowdy Records
    Rowdy Records is a record label known for working with R&B artists such as Monica in the 1990s.
  • 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_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42d9556c881908ccaee4ef77dbe1f completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fcc424081908a7e74df0523443e completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:37 a.m.