Triple

T2480911
Position Surface form Disambiguated ID Type / Status
Subject Ron Howard E55811 entity
Predicate notableWork P4 FINISHED
Object Splash E13794 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: Splash | Statement: [Ron Howard, notableWork, Splash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Splash
Context triple: [Ron Howard, notableWork, Splash]
  • A. Splash chosen
    Splash is a 1984 romantic comedy fantasy film directed by Ron Howard about a man who falls in love with a mermaid in New York City.
  • B. Sink or Swim
    "Sink or Swim" is the 2007 debut studio album by American rock band The Gaslight Anthem, blending punk energy with heartland rock influences.
  • C. Jack Splash
    Jack Splash is a Grammy-winning American record producer, songwriter, and musician known for his eclectic, funk-influenced work with artists across R&B, hip-hop, and pop.
  • D. Splash Works
    Splash Works is the large outdoor water park located within the Canada's Wonderland amusement park in Ontario, featuring water slides, wave pools, and family attractions.
  • E. Surfacing
    Surfacing is a 1972 novel by Margaret Atwood that blends psychological mystery with feminist and environmental themes as it follows a woman’s search for her missing father in rural Quebec.
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd161bf3c8190834502968180e9cf completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b146d881909672e9cd4a501a11 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.