Triple

T19359828
Position Surface form Disambiguated ID Type / Status
Subject Braden, Tennessee E484246 entity
Predicate namedFor P63 FINISHED
Object J. N. Braden
J. N. Braden was an individual significant enough in local history or development that the town of Braden, Tennessee, was named in his honor.
 E1372105 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: J. N. Braden | Statement: [Braden, Tennessee, namedFor, J. N. Braden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: J. N. Braden
Context triple: [Braden, Tennessee, namedFor, J. N. Braden]
  • A. M. S. Reardon
    M. S. Reardon was an early 20th-century film actor who appeared in the 1918 silent drama "Eye for Eye."
  • B. V. D. Naylor
    V. D. Naylor was an applied mathematician distinguished enough in the field that a major prize and lectureship in applied mathematics was established in his honor.
  • C. P. R. Brown
    P. R. Brown is an American graphic designer and music video director known for his visually distinctive work with major recording artists across rock and pop music.
  • D. E. E. Fogelson
    E. E. Fogelson was an American oil executive and philanthropist best known as the longtime husband of actress Greer Garson.
  • E. Eric E. Osmond
    Eric E. Osmond is a film editor best known for his work on the animated feature "The Super Mario Bros. Movie."
  • 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: J. N. Braden
Triple: [Braden, Tennessee, namedFor, J. N. Braden]
Generated description
J. N. Braden was an individual significant enough in local history or development that the town of Braden, Tennessee, was named in his honor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: J. N. Braden
Target entity description: J. N. Braden was an individual significant enough in local history or development that the town of Braden, Tennessee, was named in his honor.
  • A. M. S. Reardon
    M. S. Reardon was an early 20th-century film actor who appeared in the 1918 silent drama "Eye for Eye."
  • B. V. D. Naylor
    V. D. Naylor was an applied mathematician distinguished enough in the field that a major prize and lectureship in applied mathematics was established in his honor.
  • C. P. R. Brown
    P. R. Brown is an American graphic designer and music video director known for his visually distinctive work with major recording artists across rock and pop music.
  • D. E. E. Fogelson
    E. E. Fogelson was an American oil executive and philanthropist best known as the longtime husband of actress Greer Garson.
  • E. Eric E. Osmond
    Eric E. Osmond is a film editor best known for his work on the animated feature "The Super Mario Bros. Movie."
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07240f812c8190b101fa988defb96f completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a07250f236c8190b32adebcae3745af completed May 15, 2026, 1:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:34 p.m.