Triple

T907561
Position Surface form Disambiguated ID Type / Status
Subject Clint Howard E19582 entity
Predicate notableWork P4 FINISHED
Object The Waterboy E92268 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 Waterboy | Statement: [Clint Howard, notableWork, The Waterboy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Waterboy
Context triple: [Clint Howard, notableWork, The Waterboy]
  • A. The Waterboy chosen
    The Waterboy is a 1998 sports comedy film starring Adam Sandler as a socially awkward college football team water boy who discovers a talent for tackling.
  • B. A Night at the Roxbury
    A Night at the Roxbury is a 1998 American comedy film starring Will Ferrell and Chris Kattan as socially awkward club-going brothers, based on their recurring sketch characters from Saturday Night Live.
  • 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. Lady in the Water
    Lady in the Water is a 2006 fantasy thriller film written and directed by M. Night Shyamalan about a mysterious water nymph discovered in a Philadelphia apartment complex’s pool.
  • E. King Baby
    King Baby is a stand-up comedy special by American comedian Jim Gaffigan, known for its observational humor about everyday life, food, and parenting.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cdc1788190a704809404f49986 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c73b3a848190859df2eed9a21fc5 completed March 4, 2026, 5:46 a.m.
Created at: March 1, 2026, 7:39 p.m.