Triple

T22652306
Position Surface form Disambiguated ID Type / Status
Subject Dyadya Vanya E559124 entity
Predicate hasCharacter P2308 FINISHED
Object Marina
Marina is a supporting character in Anton Chekhov’s play "Uncle Vanya," contributing to the domestic and emotional atmosphere of the story.
 E1549269 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: Marina | Statement: [Dyadya Vanya, hasCharacter, Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marina
Context triple: [Dyadya Vanya, hasCharacter, Marina]
  • A. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • B. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • C. Marina
    Marina is a 2012 Tamil coming-of-age drama film that helped establish Sivakarthikeyan as a leading actor in the Tamil film industry.
  • D. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • E. Marina
    Marina is the eccentric, childlike porn actress who becomes the obsessive focus of a recently released psychiatric patient in Pedro Almodóvar’s dark romantic comedy film "Tie Me Up! Tie Me Down!".
  • 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: Marina
Triple: [Dyadya Vanya, hasCharacter, Marina]
Generated description
Marina is a supporting character in Anton Chekhov’s play "Uncle Vanya," contributing to the domestic and emotional atmosphere of the story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marina
Target entity description: Marina is a supporting character in Anton Chekhov’s play "Uncle Vanya," contributing to the domestic and emotional atmosphere of the story.
  • A. Marina
    Marina is a recurring comedic character in the long-running British sitcom "Last of the Summer Wine," known for her flirtatious relationship with the married Howard.
  • B. Marina
    Marina is the given name of Marina von Neumann Whitman, an American economist and former General Motors executive.
  • C. Marina
    Marina is a female given name of Latin origin, commonly used in various cultures and often associated with the sea.
  • D. Marina
    Marina is a 2012 Tamil coming-of-age drama film that helped establish Sivakarthikeyan as a leading actor in the Tamil film industry.
  • E. Marina
    Marina is the eccentric, childlike porn actress who becomes the obsessive focus of a recently released psychiatric patient in Pedro Almodóvar’s dark romantic comedy film "Tie Me Up! Tie Me Down!".
  • F. None of above. chosen

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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1703d7d648190aafe275cd04c47cf completed April 29, 2026, 2:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b73e01b2881909ab303172aca0436 completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b753248d0819093f7465fbb66c7ad completed May 18, 2026, 8:23 p.m.
NED2 Entity disambiguation (via description) batch_6a0b75d103e8819080b14a5b0f20add9 completed May 18, 2026, 8:25 p.m.
Created at: April 17, 2026, 3:06 p.m.