Triple

T14467433
Position Surface form Disambiguated ID Type / Status
Subject John Mulaney E358749 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of American stand-up comedian, writer, and actor John Mulaney, known for his sharp observational humor and work on Saturday Night Live.
E1102660 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 Mulaney, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Mulaney, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
  • C. John
    John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
  • D. John
    John was a Portuguese royal who held the title of Prince of Brazil and later became King John VI of Portugal.
  • E. John
    John is the given name of John Boyle O'Reilly, a 19th-century Irish-born poet, journalist, and civil rights activist who became influential in the United States.
  • 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 Mulaney, givenName, John]
Generated description
John is the given name of American stand-up comedian, writer, and actor John Mulaney, known for his sharp observational humor and work on Saturday Night Live.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of American stand-up comedian, writer, and actor John Mulaney, known for his sharp observational humor and work on Saturday Night Live.
  • A. 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."
  • B. 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.
  • C. John
    John is the birth name of American comedian and actor Jackie Gleason, famed for his role in the classic television series "The Honeymooners."
  • D. 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."
  • E. John
    John is the given name of John Witherspoon, an American actor and comedian best known for his roles in the "Friday" film series and the television show "The Wayans Bros."
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f8613c819080424104c0b7f4c3 completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d84fd888190b05dcf9191bae337 completed May 8, 2026, 4:58 a.m.
NEDg Description generation batch_69fd6e354c1081909afcc848ee50e5b7 completed May 8, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_69fd6ee08c848190862c3ad1ef41609b completed May 8, 2026, 5:04 a.m.
Created at: April 10, 2026, 1:19 a.m.