Triple

T20236750
Position Surface form Disambiguated ID Type / Status
Subject Glynis Margaret Payne Johns E498169 entity
Predicate familyName P18 FINISHED
Object Johns
Johns is a surname of English origin borne by various notable individuals in the arts, sports, and public life.
E1374924 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: Johns | Statement: [Glynis Margaret Payne Johns, familyName, Johns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johns
Context triple: [Glynis Margaret Payne Johns, familyName, Johns]
  • 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 McGuinness is a renowned Northern Irish motorcycle road racer best known for his multiple Isle of Man TT victories.
  • C. John
    John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
  • D. John
    John is the given name of John Bacon, an 18th-century English sculptor known for his neoclassical works and prominent monuments.
  • E. John
    John is the given name of John Romero, the influential game designer and programmer best known as a co-creator of the pioneering first-person shooters Doom and Quake.
  • 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: Johns
Triple: [Glynis Margaret Payne Johns, familyName, Johns]
Generated description
Johns is a surname of English origin borne by various notable individuals in the arts, sports, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Johns
Target entity description: Johns is a surname of English origin borne by various notable individuals in the arts, sports, and public life.
  • A. Johns
    Johns is a given name most notably associated with Johns Hopkins, the 19th-century American entrepreneur and philanthropist whose endowments founded Johns Hopkins University and Hospital.
  • B. Johns
    "Johns" is a 1996 independent drama film centered on two hustlers in Los Angeles, known for its gritty portrayal of street life and early-career performances by actors like David Arquette.
  • C. Johns chosen
    Johns is a surname most notably borne by Welsh-born British actress and singer Glynis Johns.
  • D. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • E. 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."
  • F. None of above.

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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716a5af0819095ea419a4d1f0d1d completed April 20, 2026, 6:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a084b90635c8190b7452042a4dcc271 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084d86121c8190bba37790a114cfae completed May 16, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a084dded4908190a63889b4c382d76f completed May 16, 2026, 10:58 a.m.
Created at: April 11, 2026, 11:40 p.m.