Triple

T9356594
Position Surface form Disambiguated ID Type / Status
Subject The 158-Pound Marriage E225154 entity
Predicate precededBy P97 FINISHED
Object The Water-Method Man E225155 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: The Water-Method Man | Statement: [The 158-Pound Marriage, precededBy, The Water-Method Man]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Water-Method Man
Context triple: [The 158-Pound Marriage, precededBy, The Water-Method Man]
  • A. The Water-Method Man chosen
    The Water-Method Man is a comic novel by John Irving that follows the misadventures and emotional struggles of a perpetually evasive graduate student and translator.
  • B. The Water Man
    The Water Man is a 2020 family adventure-drama film and the directorial debut of David Oyelowo, following a boy’s mystical quest to save his ailing mother.
  • C. Dighty Water
    Dighty Water is a small river in Angus, Scotland, that flows through the Monifieth and Dundee area before entering the Firth of Tay.
  • D. The Drain
    The Drain is the informal nickname for London's short, deep-level Waterloo & City underground railway line that links Waterloo station with the City of London.
  • E. A Drink of Water
    "A Drink of Water" is a poem by Seamus Heaney, included in his collection *Field Work*, that reflects on memory, gratitude, and rural Irish life through the simple act of receiving water from an elderly neighbor.
  • 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_69ca842abfd48190949d71c3b86eeba8 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd4fee9d4c8190a7d121c9487ccca2 completed April 1, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3d248a88190b7d17af66e2903c5 completed April 4, 2026, 11:19 a.m.
Created at: March 30, 2026, 7:42 p.m.