Triple

T20044338
Position Surface form Disambiguated ID Type / Status
Subject Melinda Fuller E497514 entity
Predicate coFounderOf P104 FINISHED
Object WET Design 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: WET Design | Statement: [Melinda Fuller, coFounderOf, WET Design]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WET Design
Context triple: [Melinda Fuller, coFounderOf, WET Design]
  • A. WET Design chosen
    WET Design is a renowned water feature design firm best known for creating large-scale, choreographed fountains and immersive aquatic shows around the world.
  • B. WET
    WET (Western European Time) is a standard time zone used by several Western European countries, including Portugal and the United Kingdom during winter months, corresponding to UTC+0.
  • C. Tiwi Design
    Tiwi Design is a renowned Aboriginal art centre on the Tiwi Islands known for its distinctive prints, carvings, and promotion of Tiwi culture.
  • D. DLA Design
    DLA Design is an architectural firm known for designing major public venues, including the Manchester Arena in the United Kingdom.
  • E. Water Wizz
    Water Wizz is a real-life New England water park best known for serving as the primary water park setting in the coming-of-age film "The Way Way Back."
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662eea09481908d1001165e9d719c completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:37 p.m.