Triple

T12392481
Position Surface form Disambiguated ID Type / Status
Subject A Bit of Fry & Laurie E296030 entity
Predicate featuresCharacter P626 FINISHED
Object John
John is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie," portrayed in the series' distinctive absurd and witty style.
E980339 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: John | Statement: [A Bit of Fry & Laurie, featuresCharacter, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [A Bit of Fry & Laurie, featuresCharacter, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
  • C. John
    John is the first name of Johnny Evers, a Hall of Fame American Major League Baseball second baseman who starred for the Chicago Cubs in the early 20th century.
  • D. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • E. John
    John McDowell is a prominent South African-born philosopher known for his influential work in epistemology, philosophy of mind, and ethics.
  • 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: John
Triple: [A Bit of Fry & Laurie, featuresCharacter, John]
Generated description
John is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie," portrayed in the series' distinctive absurd and witty style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie," portrayed in the series' distinctive absurd and witty style.
  • A. John
    John is the given name of English comedian, actor, and writer John Cleese, a founding member of the legendary comedy group Monty Python.
  • B. John
    John is the birth name of American comedian and actor Jackie Gleason, famed for his role in the classic television series "The Honeymooners."
  • C. John
    John is the given name of British-American comedian and television host John Oliver, best known for his satirical news show "Last Week Tonight with John Oliver."
  • D. John
    John is the given name of American character actor John McGiver, known for his distinctive, pompous persona in mid-20th-century film and television.
  • E. John
    John is the first name of American comedian and actor Will Ferrell, known for his work on Saturday Night Live and numerous comedy films.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fd228488190b216abd1c341563c completed April 10, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63461cacc81909958fbd745e5d065 completed May 2, 2026, 5:29 p.m.
NEDg Description generation batch_69f6356c21908190b34d1324da8f8052 completed May 2, 2026, 5:33 p.m.
NED2 Entity disambiguation (via description) batch_69f63693f5c881909a9683a0c6a68739 completed May 2, 2026, 5:38 p.m.
Created at: April 8, 2026, 9:54 p.m.