Triple

T13865303
Position Surface form Disambiguated ID Type / Status
Subject William Bell E333307 entity
Predicate notableWork P4 FINISHED
Object You Don't Miss Your Water E916199 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: You Don't Miss Your Water | Statement: [William Bell, notableWork, You Don't Miss Your Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You Don't Miss Your Water
Context triple: [William Bell, notableWork, You Don't Miss Your Water]
  • A. You Don't Miss Your Water chosen
    "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.
  • B. Bring Me Some Water
    "Bring Me Some Water" is a 1988 blues-rock song by American singer-songwriter Melissa Etheridge that became one of her signature hits.
  • C. Sweet Water
    Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
  • D. 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."
  • E. Don’t Go Near the Water
    Don’t Go Near the Water is a 1957 American romantic comedy film set in the U.S. Navy during World War II, known for its humorous take on military public relations and wartime romance.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c30d9c81908217d41a3b4aaf85 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c10113288190b799126d934df92a completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.