Triple

T21335330
Position Surface form Disambiguated ID Type / Status
Subject Gail Berke E526028 entity
Predicate workBasedOn P6931 FINISHED
Object The Deep (novel) — 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 (novel) | Statement: [Gail Berke, workBasedOn, The Deep (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Deep (novel)
Context triple: [Gail Berke, workBasedOn, The Deep (novel)]
  • A. Passages of the Deep
    Passages of the Deep is an immersive underwater tunnel exhibit that allows visitors to walk through large marine habitats and observe sharks, rays, and other ocean life up close.
  • B. 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.
  • C. The Deep chosen
    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.
  • D. The Deep
    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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e898d6fcbc8190b83d9cfc9b4ca123 completed April 22, 2026, 9:45 a.m.
Created at: April 16, 2026, 4:43 p.m.