Triple

T7809450
Position Surface form Disambiguated ID Type / Status
Subject Hot Water E180640 entity
Predicate title P38 FINISHED
Object Hot Water E180640 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: Hot Water | Statement: [Hot Water, title, Hot Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot Water
Context triple: [Hot Water, title, Hot Water]
  • A. Hot Water chosen
    "Hot Water" is a 1924 silent comedy film starring Harold Lloyd, known for its inventive gags and domestic-situation humor.
  • B. Hot Water Beach
    Hot Water Beach is a popular New Zealand coastal destination famous for its geothermally heated water that allows visitors to dig their own natural hot pools in the sand at low tide.
  • C. Chilly Water
    "Chilly Water" is a fan-favorite jam-rock song by the American band Widespread Panic, often celebrated for its energetic live performances and audience participation.
  • D. Cool Water
    "Cool Water" is a classic Western cowboy song, popularized by the Sons of the Pioneers, that evokes the hardships of desert travel and the longing for water.
  • E. Sweet Water
    Sweet Water is a small rural town located in Marengo County in the state of Alabama, United States.
  • 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_69ca827f6f148190beca4e245b993506 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf78bb4b08190b2b3b51c5a0a033c completed March 30, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb145b93788190a89f26dacbd0b437 completed March 31, 2026, 12:24 a.m.
Created at: March 30, 2026, 4:36 p.m.