Triple

T20075046
Position Surface form Disambiguated ID Type / Status
Subject John Davys E499838 entity
Predicate hasGivenName P17 FINISHED
Object John
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and across the world.
E55602 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 Davys, hasGivenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Davys, hasGivenName, 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 given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • C. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • D. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • E. John
    John is the first name of American actor and musician John Stamos, best known for his role as Uncle Jesse on the television series "Full House."
  • 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 Davys, hasGivenName, John]
Generated description
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and across the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and across the world.
  • A. John chosen
    John is a masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous historical and contemporary figures.
  • B. John
    John is a common English surname borne by numerous individuals across various fields and cultures.
  • C. John
    John is the given name of John Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
  • D. John
    John is the given name of John Graunt, a 17th-century English statistician and demographer known for pioneering work in population statistics.
  • E. John
    John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643ab0448190ab18d013b72aaf32 completed April 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f2df6c881909a405496e24290cc completed May 16, 2026, 7:39 a.m.
NEDg Description generation batch_6a081fe68bc08190aa4b860b995d6609 completed May 16, 2026, 7:42 a.m.
NED2 Entity disambiguation (via description) batch_6a08207251d08190ac39256d4c1a97c8 completed May 16, 2026, 7:44 a.m.
Created at: April 11, 2026, 3:40 p.m.