Triple

T21556208
Position Surface form Disambiguated ID Type / Status
Subject Red River Blue E531898 entity
Predicate hasSingle P3282 FINISHED
Object Drink on It E528032 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: Drink on It | Statement: [Red River Blue, hasSingle, Drink on It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drink on It
Context triple: [Red River Blue, hasSingle, Drink on It]
  • A. Drink on It chosen
    "Drink on It" is a country song by American singer Blake Shelton, featured on his 2011 album "Red River Blue" and released as a successful single.
  • B. Drinkin’ Thing
    "Drinkin’ Thing" is a country song best known for its 1974 hit recording by Gary Stewart, exemplifying the honky-tonk style and themes of heartache and alcohol-fueled coping.
  • C. Be Drunk
    "Be Drunk" is a prose poem by Charles Baudelaire urging readers to stay metaphorically intoxicated—on wine, poetry, or virtue—in order to escape the burdens of time and existence.
  • D. Let’s Have a Drink on It
    "Let’s Have a Drink on It" is a musical number from Disney’s 1967 film *The Happiest Millionaire*, reflecting the movie’s lighthearted, song-filled portrayal of early 20th-century American life.
  • E. Last Drink
    "Last Drink" is a song by the artist No Said Date.
  • 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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2df48c88190894b6b08a5cb6390 completed April 27, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09eee7651081909a7d940d6fa38f4a completed May 17, 2026, 4:37 p.m.
Created at: April 16, 2026, 6:29 p.m.