Triple

T11714648
Position Surface form Disambiguated ID Type / Status
Subject Collette Wolfe E278462 entity
Predicate notableWork P4 FINISHED
Object Hot Tub Time Machine E708550 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 Tub Time Machine | Statement: [Collette Wolfe, notableWork, Hot Tub Time Machine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot Tub Time Machine
Context triple: [Collette Wolfe, notableWork, Hot Tub Time Machine]
  • A. Hot Tub Time Machine chosen
    Hot Tub Time Machine is a 2010 sci-fi comedy film about friends who accidentally travel back to the 1980s via a malfunctioning hot tub.
  • B. Ten Years in the Tub
    Ten Years in the Tub is a collection of Nick Hornby’s book-review columns, offering a decade-long chronicle of his reading life and literary enthusiasms.
  • C. Sinkin’ in the Bathtub
    "Sinkin’ in the Bathtub" is a 1930 animated short film featuring Bosko that is widely recognized as the first official Looney Tunes cartoon.
  • D. Big Blue Pool
    Big Blue Pool is a large, Finding Nemo–themed outdoor swimming pool at Disney’s Art of Animation Resort in Walt Disney World.
  • E. 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.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4bf54d88190a8e07fbbf8d9e962 completed April 10, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef8397a4ac8190a71dfdd53bfa168a completed April 27, 2026, 3:41 p.m.
Created at: April 8, 2026, 9:40 p.m.