Triple

T5650012
Position Surface form Disambiguated ID Type / Status
Subject John Byron Nelson Jr. E124479 entity
Predicate givenName P17 FINISHED
Object John
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous notable historical and contemporary figures.
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 Byron Nelson Jr., givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Byron Nelson Jr., givenName, John]
  • A. John
    John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
  • B. John
    John is the given name of John Boyd-Carpenter, a prominent British Conservative politician who served in several senior government positions in the mid-20th century.
  • C. John
    John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
  • D. John
    John is the given first name of American character actor and comedian Rags Ragland.
  • E. John
    John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
  • 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 Byron Nelson Jr., givenName, John]
Generated description
John is a common masculine given name of Hebrew origin, widely used in English-speaking countries and borne by numerous notable historical and contemporary figures.
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 borne by numerous notable historical and contemporary figures.
  • 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 the given name of John Lennon, the iconic English singer-songwriter and co-founder of The Beatles.
  • C. John
    John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
  • D. John
    John is the given name of American actor John Goodman, renowned for his roles in film, television, and theater.
  • E. John
    John is the given name of John Jacob Astor, the prominent German-American businessman and real estate magnate who became one of the wealthiest individuals in early 19th-century United States.
  • 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_69c00825df388190a58742fa9b1aa33d completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022d4ca788190b20168b20cb1d030 completed March 22, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04ce1bce4819095559af19cf072f8 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e8b548c81908adaf54bbe25af35 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f4c1e34819093e60870c87c8d99 completed March 22, 2026, 8:21 p.m.
Created at: March 22, 2026, 3:42 p.m.