Triple

T6817680
Position Surface form Disambiguated ID Type / Status
Subject John Neely Bryan E156808 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Neely Bryan, the 19th-century American trader and lawyer who founded the city of Dallas, Texas.
E621268 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 Neely Bryan, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Neely Bryan, givenName, John]
  • A. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • B. John
    John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
  • C. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • D. John
    John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
  • 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. 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 Neely Bryan, givenName, John]
Generated description
John is the given name of John Neely Bryan, the 19th-century American trader and lawyer who founded the city of Dallas, Texas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Neely Bryan, the 19th-century American trader and lawyer who founded the city of Dallas, Texas.
  • A. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • B. 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.
  • C. John
    John is the given name of John D. Rockefeller, the American industrialist and philanthropist who founded Standard Oil and became one of the wealthiest individuals in history.
  • D. John
    John is the given name of John Alexander Logan, a prominent 19th-century American Civil War general and influential politician.
  • E. John
    John is the given name of John Muir, the influential Scottish-American naturalist and conservationist known as the "Father of the National Parks."
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d355b52081909f037cec76bdccf6 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723c3eb4881909c9c8d1258f461d9 completed March 28, 2026, 12:41 a.m.
NEDg Description generation batch_69c7249209b88190a50fa7b96dd88b10 completed March 28, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_69c7250865808190a1d20e8fe6f9de49 completed March 28, 2026, 12:47 a.m.
Created at: March 27, 2026, 2:17 p.m.