Triple

T9879855
Position Surface form Disambiguated ID Type / Status
Subject Homecoming E240170 entity
Predicate includesSong P7178 FINISHED
Object Drunk in Love E48120 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 in Love | Statement: [Homecoming, includesSong, Drunk in Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drunk in Love
Context triple: [Homecoming, includesSong, Drunk in Love]
  • A. Drunk in Love chosen
    "Drunk in Love" is a sultry, trap-influenced R&B song by Beyoncé featuring Jay-Z that became one of her signature hits following its release in 2013.
  • 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. Marry You
    "Marry You" is a catchy pop song by Bruno Mars known for its upbeat, romantic theme about impulsively getting married.
  • D. Marry You
    "Marry You" is a song featured on the collaborative blues album "Riding with the King" by B.B. King and Eric Clapton.
  • E. Ain't No Thang
    "Ain't No Thang" is a track by the hip hop duo Outkast from their influential debut album, showcasing their early Southern rap style and lyrical flair.
  • 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_69ca84e8a0788190b9061811d50fd554 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb4146fe881908f9fc553dfca31e1 completed April 2, 2026, 12:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20d6ec5a081908251e67b575c7c33 completed April 5, 2026, 7:21 a.m.
Created at: March 30, 2026, 8:37 p.m.