Triple

T8849760
Position Surface form Disambiguated ID Type / Status
Subject Michael Jenkins E210606 entity
Predicate notableWork P4 FINISHED
Object Blue Murder E399187 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: Blue Murder | Statement: [Michael Jenkins, notableWork, Blue Murder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Murder
Context triple: [Michael Jenkins, notableWork, Blue Murder]
  • A. Blue Murder chosen
    Blue Murder is a British hard rock band formed in the late 1980s by former Whitesnake and Thin Lizzy guitarist John Sykes, known for its melodic yet heavy sound.
  • B. Blue Murder
    Blue Murder is a Canadian television crime drama series known for its gritty portrayal of homicide investigations in Toronto.
  • C. Murder in the House
    Murder in the House is a mystery novel set within the Capital Crimes series, following a politically charged murder investigation in Washington, D.C.
  • D. Murder Most Horrid
    Murder Most Horrid is a British dark comedy anthology television series starring Dawn French, featuring standalone episodes that parody and subvert traditional murder-mystery conventions.
  • E. There Was a Murder
    "There Was a Murder" is a track by hip-hop duo Clipse from their 2009 album "Til the Casket Drops."
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60abb0748190af41d4e1f419e39c completed April 1, 2026, 12:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08315fc8190b901adfc76348e18 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.