Triple

T21335315
Position Surface form Disambiguated ID Type / Status
Subject Gail Berke E526028 entity
Predicate basedOn P98 FINISHED
Object Gail Berke (novel character)
Gail Berke is a fictional character from Peter Benchley’s novel “The Deep,” portrayed as a young woman drawn into a dangerous underwater treasure hunt in the Caribbean.
 E526028 NE FINISHED

How this triple was built (4 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: Gail Berke (novel character) | Statement: [Gail Berke, basedOn, Gail Berke (novel character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gail Berke (novel character)
Context triple: [Gail Berke, basedOn, Gail Berke (novel character)]
  • A. Gail
    Gail is a prominent, tough-as-nails prostitute and leader of the Old Town girls in Frank Miller's Sin City graphic novels and their film adaptations.
  • B. Gail
    Gail is a feminine given name commonly used as a short form of Abigail.
  • C. Gail
    The Gail is a river in southern Austria that flows through Carinthia and is a major tributary of the Drava River.
  • D. Gail Berke
    Gail Berke is a central protagonist in the adventure film "The Deep," known for becoming entangled in a dangerous underwater treasure hunt.
  • E. Gail Bartlett
    Gail Bartlett is known as the wife of former Dallas mayor and U.S. Congressman Steve Bartlett.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gail Berke (novel character)
Triple: [Gail Berke, basedOn, Gail Berke (novel character)]
Generated description
Gail Berke is a fictional character from Peter Benchley’s novel “The Deep,” portrayed as a young woman drawn into a dangerous underwater treasure hunt in the Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gail Berke (novel character)
Target entity description: Gail Berke is a fictional character from Peter Benchley’s novel “The Deep,” portrayed as a young woman drawn into a dangerous underwater treasure hunt in the Caribbean.
  • A. Gail
    Gail is a feminine given name commonly used as a short form of Abigail.
  • B. Gail
    Gail is a prominent, tough-as-nails prostitute and leader of the Old Town girls in Frank Miller's Sin City graphic novels and their film adaptations.
  • C. Gail
    The Gail is a river in southern Austria that flows through Carinthia and is a major tributary of the Drava River.
  • D. Gail Berke chosen
    Gail Berke is a central protagonist in the adventure film "The Deep," known for becoming entangled in a dangerous underwater treasure hunt.
  • E. Gail Bartlett
    Gail Bartlett is known as the wife of former Dallas mayor and U.S. Congressman Steve Bartlett.
  • F. None of above.

Provenance (5 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.
NED1 Entity disambiguation (via context triple) batch_6a09a5c07438819084e08576a703406c completed May 17, 2026, 11:25 a.m.
NEDg Description generation batch_6a09a6723714819087d80d62bdcb3926 completed May 17, 2026, 11:28 a.m.
NED2 Entity disambiguation (via description) batch_6a09a6d55bf08190bb4a90fbb258f49b completed May 17, 2026, 11:30 a.m.
Created at: April 16, 2026, 4:43 p.m.