Triple

T1801598
Position Surface form Disambiguated ID Type / Status
Subject Last of the Summer Wine E39731 entity
Predicate mainCharacter P1183 FINISHED
Object 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.
 E202340 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: [Last of the Summer Wine, mainCharacter, Marina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Marina
Context triple: [Last of the Summer Wine, mainCharacter, Marina]
  • A. Lissa
    Lissa is a historic town in western Poland, known today as Leszno, that was once part of Germany and is notable as the birthplace of several prominent Jewish and intellectual figures.
  • B. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • C. Malaya Nevka
    Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • D. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • E. Marina Lu
    Marina Lu is the mother of renowned cellist Yo-Yo Ma.
  • 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: [Last of the Summer Wine, mainCharacter, Marina]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Marina
Target entity description: 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.
  • A. Lissa
    Lissa is a historic town in western Poland, known today as Leszno, that was once part of Germany and is notable as the birthplace of several prominent Jewish and intellectual figures.
  • B. Theodosia
    Theodosia is a historic port city on the southeastern coast of Crimea, known for its long history as a trading center on the Black Sea.
  • C. Malaya Nevka
    Malaya Nevka is a distributary channel of the Neva River in Saint Petersburg, Russia, forming part of the city’s intricate river and canal network.
  • D. Thalassa
    Thalassa is a small, inner irregularly shaped moon of Neptune that orbits close to the planet within its ring system.
  • E. Marina Lu
    Marina Lu is the mother of renowned cellist Yo-Yo Ma.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656c4c5481908468c6e6f9c4bfc0 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5db1c7c81908c25e62dca1cb825 completed March 8, 2026, 5:46 p.m.
NEDg Description generation batch_69adb8b6d160819096dc02323049101d completed March 8, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69adb9bafd688190a66a835c6a8163e3 completed March 8, 2026, 6:02 p.m.
Created at: March 4, 2026, 7:32 p.m.