Triple

T952238
Position Surface form Disambiguated ID Type / Status
Subject Rance Howard E20546 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: [Rance Howard, notableWork, Splash]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Splash
Context triple: [Rance 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. 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.
  • C. Openwater
    Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
  • D. SPLASH
    SPLASH is a major annual ACM conference focused on programming languages, software engineering, and related systems research.
  • E. Sweat
    Sweat is a 2004 studio album by American rapper Nelly that showcases his blend of hip hop and R&B with a more up-tempo, club-oriented sound.
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d757d08190a475cf47febd05ae completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933ab88b481908298cb855f46540e completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.