Triple

T10964089
Position Surface form Disambiguated ID Type / Status
Subject Tailgates & Tanlines E259050 entity
Predicate single P3283 FINISHED
Object Drunk on You E259042 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: Drunk on You | Statement: [Tailgates & Tanlines, single, Drunk on You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drunk on You
Context triple: [Tailgates & Tanlines, single, Drunk on You]
  • A. Drunk on You chosen
    "Drunk on You" is a popular country song by American singer Luke Bryan, known for its romantic, laid-back summer vibe and commercial success on country radio.
  • B. Drunk on Love
    "Drunk on Love" is a song by Rihanna from her sixth studio album, blending emotional lyrics with a dance-pop and electronic sound.
  • C. Let’s Go Crazy
    "Let’s Go Crazy" is a high-energy rock, funk, and pop song by Prince that opens the 1984 film and album "Purple Rain" and is renowned for its iconic guitar solo and sermon-like intro.
  • D. Livin' It Up
    "Livin' It Up" is a 2001 hip hop single by Ja Rule featuring Case, known for its upbeat party vibe and prominent sampling of Stevie Wonder's "Do I Do."
  • E. You Wreck Me
    "You Wreck Me" is a rock song by Tom Petty from his 1994 album "Wildflowers," known for its driving guitars and anthemic chorus.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77147f7108190a3b68ba1dd1c130e completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3449113f08190b83ffbf1b4c46518 completed April 18, 2026, 8:45 a.m.
Created at: April 8, 2026, 9:23 p.m.