Triple

T1119533
Position Surface form Disambiguated ID Type / Status
Subject Regina King E11177 entity
Predicate notableWork P4 FINISHED
Object Southland E134017 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: Southland | Statement: [Regina King, notableWork, Southland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southland
Context triple: [Regina King, notableWork, Southland]
  • A. Southland chosen
    Southland is an American television drama series that portrays the lives and challenges of Los Angeles police officers and detectives with a gritty, realistic style.
  • B. Central Coast
    Central Coast is a coastal region of New South Wales, Australia, known for its beaches, lakes, and commuter towns between Sydney and Newcastle.
  • C. Sunraysia region
    The Sunraysia region is a major irrigated agricultural area in southeastern Australia, renowned for its production of citrus fruits, table grapes, and wine grapes.
  • D. Hunter Region
    The Hunter Region is a major area of New South Wales, Australia, known for its coal industry, wine-producing Hunter Valley, and coastal city of Newcastle.
  • E. Murray region
    The Murray region is a rural area in New South Wales, Australia, centered around the Murray River and known for agriculture, irrigation, and cross-border links with Victoria.
  • 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_69a493252a648190ac48f8742474a5e8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4bbbca3348190a607ce147b2ae70e completed March 1, 2026, 10:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f0fac0c8190b23a976b495d1701 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:43 p.m.