Triple

T20668982
Position Surface form Disambiguated ID Type / Status
Subject Millennium Bridge, Hull E507967 entity
Predicate hasView P854 FINISHED
Object The Deep — 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: The Deep | Statement: [Millennium Bridge, Hull, hasView, The Deep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Deep
Context triple: [Millennium Bridge, Hull, hasView, The Deep]
  • A. The Deep
    The Deep is a science fiction novella by Rivers Solomon that explores memory, trauma, and identity through the story of an underwater society descended from African women thrown overboard during the transatlantic slave trade.
  • B. The Deep
    The Deep is a 1976 adventure novel by Peter Benchley that follows a young couple who discover dangerous secrets and sunken treasure while diving near Bermuda.
  • C. The Deep
    The Deep is a parody of Aquaman and a member of the superhero team The Seven in the TV series "The Boys," known for his aquatic powers, insecurity, and darkly comedic storylines.
  • D. The Deep chosen
    The Deep is a striking futuristic aquarium and marine research center in Kingston upon Hull, England, known for its dramatic architecture and extensive collection of marine life.
  • E. The Deep
    The Deep is a 1977 adventure-thriller film about a couple who discover a dangerous underwater treasure off Bermuda, based on Peter Benchley’s novel of the same name.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c60a2481908ae3764bc12454e0 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.