Triple

T3378534
Position Surface form Disambiguated ID Type / Status
Subject Cucumber E71123 entity
Predicate leadActor P1507 FINISHED
Object Vincent Franklin
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
 E352365 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: Vincent Franklin | Statement: [Cucumber, leadActor, Vincent Franklin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vincent Franklin
Context triple: [Cucumber, leadActor, Vincent Franklin]
  • A. Vincent Lawrence
    Vincent Lawrence was an American playwright and screenwriter active in early 20th-century theater and film.
  • B. Vaughn Franklin
    Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
  • C. Vance Franklin
    Vance Franklin is an individual notable enough to be specifically cited as a bearer of the surname Franklin.
  • D. Vincent Brantley
    Vincent Brantley is an American songwriter and record producer best known for co-writing and producing New Edition’s hit album "All for Love" and the single "Count Me Out."
  • E. Vincent Gaddis
    Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
  • 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: Vincent Franklin
Triple: [Cucumber, leadActor, Vincent Franklin]
Generated description
Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vincent Franklin
Target entity description: Vincent Franklin is a British character actor known for his work in television comedies and dramas such as "The Thick of It," "Cucumber," and "Bodyguard."
  • A. Vincent Lawrence
    Vincent Lawrence was an American playwright and screenwriter active in early 20th-century theater and film.
  • B. Vaughn Franklin
    Vaughn Franklin is one of the children of renowned Baptist minister and civil rights activist C. L. Franklin.
  • C. Vance Franklin
    Vance Franklin is an individual notable enough to be specifically cited as a bearer of the surname Franklin.
  • D. Vincent Brantley
    Vincent Brantley is an American songwriter and record producer best known for co-writing and producing New Edition’s hit album "All for Love" and the single "Count Me Out."
  • E. Vincent Gaddis
    Vincent Gaddis was an American writer and researcher best known for coining and popularizing the modern mystery surrounding the Bermuda Triangle in the mid-20th century.
  • 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_69ad85a7f80c8190a05e43013f298942 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb2eacb5c81908071a1dacc9a897a completed March 8, 2026, 5:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3344c0698819082d856d8be7f2c18 completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334e661ac8190b8ff974c9568caf8 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3354fe7748190a0324551d1a8bc1b completed March 12, 2026, 9:51 p.m.
Created at: March 8, 2026, 3:14 p.m.