Triple

T20653910
Position Surface form Disambiguated ID Type / Status
Subject The Spade E507572 entity
Predicate hasTrack P3284 FINISHED
Object Day Drunk 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: Day Drunk | Statement: [The Spade, hasTrack, Day Drunk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Day Drunk
Context triple: [The Spade, hasTrack, Day Drunk]
  • A. Day Drunk chosen
    "Day Drunk" is a pop song co-written by American songwriter Lindy Robbins, known for its catchy melody and relatable, laid-back lyrics about daytime drinking.
  • B. Drunk
    Drunk is a 2010 Danish drama film directed by Thomas Vinterberg that explores the consequences of a group of teachers testing a theory that maintaining a constant level of alcohol in their blood will improve their lives.
  • C. Drunk in the Morning
    "Drunk in the Morning" is a pop song best known as one of the early hits associated with Danish singer-songwriter Lukas Graham, co-written and produced by Morten Ristorp.
  • D. Driven to Drink
    Driven to Drink is a stand-up comedy album by comedian Paul F. Tompkins, showcasing his witty, storytelling-based observational humor.
  • E. The Intoxicated
    "The Intoxicated" is a short story by Shirley Jackson that explores themes of disillusionment and existential dread through a late-night conversation between a drunken man and a disturbingly clear-eyed teenage girl.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2eb8c7081908e7dd7f7fa375190 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:43 a.m.