Triple

T20410962
Position Surface form Disambiguated ID Type / Status
Subject Bury the Hatchet E500584 entity
Predicate followedBy P78 FINISHED
Object Wake Up and Smell the Coffee 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: Wake Up and Smell the Coffee | Statement: [Bury the Hatchet, followedBy, Wake Up and Smell the Coffee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wake Up and Smell the Coffee
Context triple: [Bury the Hatchet, followedBy, Wake Up and Smell the Coffee]
  • A. Wake Up and Smell the Coffee chosen
    Wake Up and Smell the Coffee is a one-man stage show by Eric Bogosian that blends dark humor and social commentary through a series of monologues.
  • B. Hot Coffee
    Hot Coffee is a fictional character who serves as the central protagonist in the 1977 film "Handle with Care."
  • C. Cream in My Coffee
    Cream in My Coffee is a British television drama written by Dennis Potter, known for its interwoven timelines and exploration of memory, aging, and lost love.
  • D. Rise and Shine
    "Rise and Shine" is a hard-hitting, introspective hip-hop track by J. Cole that showcases his lyrical prowess and hunger for success.
  • E. Rise and Shine
    "Rise and Shine" is an Overwatch animated short focusing on the backstory of the hero Mei, depicting her survival and return to a changed world after years in cryostasis.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3ecb348190ae777f6276037828 completed April 20, 2026, 7:10 p.m.
Created at: April 16, 2026, 11:29 a.m.