Triple

T15428756
Position Surface form Disambiguated ID Type / Status
Subject John Barry Humphries E369579 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Australian comedian, actor, and satirist Barry Humphries, best known for creating the character Dame Edna Everage.
E1157360 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: [John Barry Humphries, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Barry Humphries, givenName, John]
  • A. John
    John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • E. John
    John is the given name of Sir John Lennard-Jones, a pioneering British theoretical chemist known for his work on intermolecular forces and the Lennard-Jones potential.
  • 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: [John Barry Humphries, givenName, John]
Generated description
John is the given name of Australian comedian, actor, and satirist Barry Humphries, best known for creating the character Dame Edna Everage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Australian comedian, actor, and satirist Barry Humphries, best known for creating the character Dame Edna Everage.
  • 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 the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • D. John
    John is the given name of the late Canadian actor and comedian John Candy, known for his roles in films like "Planes, Trains and Automobiles" and "Uncle Buck."
  • E. John
    John is the given name of Sir John Tenniel, the renowned British illustrator best known for his iconic artwork in Lewis Carroll’s "Alice’s Adventures in Wonderland" and "Through the Looking-Glass."
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff21a3d1f481908f6795656514b2b4 completed May 9, 2026, 11:59 a.m.
NEDg Description generation batch_69ff2299ac9481909ad213ff5bb01db3 completed May 9, 2026, 12:03 p.m.
NED2 Entity disambiguation (via description) batch_69ff2325e6a48190bee256ef8720ba8e completed May 9, 2026, 12:05 p.m.
Created at: April 10, 2026, 3:20 a.m.