Triple

T17976790
Position Surface form Disambiguated ID Type / Status
Subject Zomba Records E449494 entity
Predicate ownedImprint P49200 FINISHED
Object Zomba Songs 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: Zomba Songs | Statement: [Zomba Records, ownedImprint, Zomba Songs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zomba Songs
Context triple: [Zomba Records, ownedImprint, Zomba Songs]
  • A. Zomba Songs chosen
    Zomba Songs is a music publishing company associated with the Zomba Group of Companies, known for managing song rights and catalogs for various artists.
  • B. Zomba Gospel
    Zomba Gospel was a Christian and gospel music label under the larger Zomba Group of Companies, known for releasing faith-based recordings.
  • C. Singbonga
    Singbonga is the supreme creator deity and sun god revered in the traditional religion of the Munda and other Austroasiatic tribal communities of eastern and central India.
  • D. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • E. Nyimba
    Nyimba is a town in eastern Zambia that lies along the Great East Road and serves as a local commercial and transit hub.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b20010c8819088c022565183a7ff completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.