Triple

T8546416
Position Surface form Disambiguated ID Type / Status
Subject Foggy Dewhurst E202336 entity
Predicate nickname P55 FINISHED
Object Foggy
Foggy is the nickname of Foggy Dewhurst, a comically pompous and ex-military character from the long-running British sitcom "Last of the Summer Wine."
 E742189 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: Foggy | Statement: [Foggy Dewhurst, nickname, Foggy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Foggy
Context triple: [Foggy Dewhurst, nickname, Foggy]
  • A. A Foggy Day
    "A Foggy Day" is a popular jazz and pop standard composed by George and Ira Gershwin, widely recorded by vocalists and instrumentalists since its 1937 debut.
  • B. Niebla
    Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
  • C. Sea Fog
    Sea Fog is a 2014 South Korean thriller film about a fishing crew’s desperate attempt to smuggle migrants that spirals into tragedy.
  • D. Fogn
    Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
  • E. Smog
    Smog is the lo-fi indie rock project of American singer-songwriter Bill Callahan, known for its sparse arrangements and introspective, deadpan lyricism.
  • 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: Foggy
Triple: [Foggy Dewhurst, nickname, Foggy]
Generated description
Foggy is the nickname of Foggy Dewhurst, a comically pompous and ex-military character from the long-running British sitcom "Last of the Summer Wine."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Foggy
Target entity description: Foggy is the nickname of Foggy Dewhurst, a comically pompous and ex-military character from the long-running British sitcom "Last of the Summer Wine."
  • A. A Foggy Day
    "A Foggy Day" is a popular jazz and pop standard composed by George and Ira Gershwin, widely recorded by vocalists and instrumentalists since its 1937 debut.
  • B. Niebla
    Niebla is a landmark 1914 novel by Spanish writer Miguel de Unamuno that blends fiction and philosophy in a metafictional exploration of identity, free will, and the nature of literary creation.
  • C. Sea Fog
    Sea Fog is a 2014 South Korean thriller film about a fishing crew’s desperate attempt to smuggle migrants that spirals into tragedy.
  • D. Fogn
    Fogn is a small Norwegian island known for its agriculture and scenic coastal landscape.
  • E. Smog
    Smog is the lo-fi indie rock project of American singer-songwriter Bill Callahan, known for its sparse arrangements and introspective, deadpan lyricism.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe74f62148190bfd6cacf5d4f74b6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dbbb12c819085d1abe289fd1f22 completed April 2, 2026, 1:23 p.m.
NEDg Description generation batch_69ce71d9eac481908610589efa9f9ddd completed April 2, 2026, 1:40 p.m.
NED2 Entity disambiguation (via description) batch_69ce75b832248190b7273605cf5ff67a completed April 2, 2026, 1:57 p.m.
Created at: March 30, 2026, 6:19 p.m.