Triple

T4522009
Position Surface form Disambiguated ID Type / Status
Subject Zomba Group of Companies E103288 entity
Predicate division P889 FINISHED
Object Zomba Screen Music E449532 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: Zomba Screen Music | Statement: [Zomba Group of Companies, division, Zomba Screen Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zomba Screen Music
Context triple: [Zomba Group of Companies, division, Zomba Screen Music]
  • A. Zomba Screen Music chosen
    Zomba Screen Music is a music label and production arm specializing in soundtrack and screen-related music releases under the former Zomba Group of Companies.
  • B. Zomba Songs
    Zomba Songs is a music publishing company associated with the Zomba Group of Companies, known for managing song rights and catalogs for various artists.
  • C. Zomba Gospel
    Zomba Gospel was a Christian and gospel music label under the larger Zomba Group of Companies, known for releasing faith-based recordings.
  • D. Kizombo
    Kizombo is a regional dialect of the Kikongo language spoken by Bakongo communities in Central Africa.
  • E. ZMB
    ZMB is the three-letter ISO 3166-1 alpha-3 country code assigned to Zambia.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574bd6908190b939d92b5809b101 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacd4a09881909cf0e9d665454e38 completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:02 p.m.