Triple

T19876418
Position Surface form Disambiguated ID Type / Status
Subject Helen E477648 entity
Predicate partOf P40 FINISHED
Object Waterworld franchise NE NERFINISHED

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: Waterworld franchise | Statement: [Helen, partOf, Waterworld franchise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waterworld franchise
Context triple: [Helen, partOf, Waterworld franchise]
  • A. Waterworld chosen
    Waterworld is a 1995 post-apocalyptic science fiction film set on a flooded Earth, best known for its ambitious water-based production, high budget, and starring Kevin Costner as a mutant drifter.
  • B. Ocean's film series
    Ocean's film series is a popular heist-comedy franchise centered on charismatic criminal mastermind Danny Ocean and his crew as they execute elaborate, high-stakes robberies.
  • C. Water World
    Water World is the water park section of Waldameer Park, featuring a variety of water slides, pools, and aquatic attractions.
  • D. Jaws franchise
    The Jaws franchise is a series of American thriller films and related media centered on deadly great white shark attacks and the human efforts to stop them.
  • E. Pacific Rim film franchise
    The Pacific Rim film franchise is a science-fiction series centered on humanity’s battle against colossal monsters using giant piloted robots, known for its visually striking action and world-building.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.