Triple

T16881587
Position Surface form Disambiguated ID Type / Status
Subject Chung King House of Metal E421428 entity
Predicate namedAfter P63 FINISHED
Object John King E1239644 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: John King | Statement: [Chung King House of Metal, namedAfter, John King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John King
Context triple: [Chung King House of Metal, namedAfter, John King]
  • A. John King
    John King is an artist and notable graduate of Hornsey College of Art, recognized for his contributions to the visual arts.
  • B. John King
    John King was an American statesman who represented South Carolina as a delegate in the Continental Congress during the Revolutionary era.
  • C. John King
    John King is an American music producer best known as one half of the influential production duo The Dust Brothers, noted for their innovative work in alternative rock and hip-hop.
  • D. John King chosen
    John King is a music industry figure best known for his work as a producer and label owner associated with the influential Chung King House of Metal recording studio.
  • E. Robert King
    Robert King is an American television writer and producer best known for co-creating the acclaimed legal and political drama series "The Good Wife."
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7fc61a08190b9f611c06a95be01 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc6e77c8190853f747687299fce completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:29 a.m.