Triple

T12481261
Position Surface form Disambiguated ID Type / Status
Subject Pour Me Water music video E298310 entity
Predicate forWork P12692 FINISHED
Object Pour Me Water E985585 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: Pour Me Water | Statement: [Pour Me Water music video, forWork, Pour Me Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pour Me Water
Context triple: [Pour Me Water music video, forWork, Pour Me Water]
  • A. Pour Me Water chosen
    "Pour Me Water" is a popular Afrobeats song by Nigerian singer Mr Eazi, known for its smooth, mid-tempo groove and romantic lyrics.
  • B. Pour Me
    "Pour Me" is a song by the British rock band Coldplay, known as a more obscure early track that appeared as a B-side rather than on one of their main studio albums.
  • C. Sweet Water
    Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
  • D. You Don't Miss Your Water
    "You Don't Miss Your Water" is a classic soul song, originally written and recorded by William Bell, that has been widely covered and celebrated for its heartfelt portrayal of loss and regret.
  • E. That’s What the Water Made Me
    "That’s What the Water Made Me" is a rock song by Bon Jovi featured on their 2013 studio album "What About Now."
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba5efc881909784037b95f7bbe3 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.