Triple

T23349891
Position Surface form Disambiguated ID Type / Status
Subject Anne Carey E591975 entity
Predicate notableWork P4 FINISHED
Object Kill the Messenger 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: Kill the Messenger | Statement: [Anne Carey, notableWork, Kill the Messenger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kill the Messenger
Context triple: [Anne Carey, notableWork, Kill the Messenger]
  • A. Kill the Messenger
    Kill the Messenger is a 2008 stand-up comedy special by Chris Rock that showcases his sharp, politically charged observational humor across performances in New York, London, and Johannesburg.
  • B. Kill the Messenger chosen
    Kill the Messenger is a 2014 American crime thriller film based on the true story of journalist Gary Webb’s investigation into CIA involvement in drug trafficking.
  • C. Shoot the Messenger
    Shoot the Messenger is a 2006 British television drama film that explores race, identity, and self-hatred within the Black British community.
  • D. The Messengers
    The Messengers is a 2007 supernatural horror film about a family that encounters terrifying paranormal events after moving to a secluded sunflower farm in North Dakota.
  • E. The Messengers
    The Messengers are a music production and songwriting duo known for crafting pop and R&B hits for major artists.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a132da08190b30de610d34c96cc completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:19 p.m.