Triple

T9560508
Position Surface form Disambiguated ID Type / Status
Subject John Weiss Forney E230658 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of American journalist and politician John Weiss Forney, known for his influential role in 19th-century U.S. media and Democratic Party politics.
E808792 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 Weiss Forney, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Weiss Forney, givenName, John]
  • A. John
    John is the nickname of John Riggins, a former American football running back best known for his Hall of Fame career with the Washington Redskins in the NFL.
  • B. John
    John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
  • C. 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."
  • D. 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.
  • 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 Weiss Forney, givenName, John]
Generated description
John is the given name of American journalist and politician John Weiss Forney, known for his influential role in 19th-century U.S. media and Democratic Party politics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of American journalist and politician John Weiss Forney, known for his influential role in 19th-century U.S. media and Democratic Party politics.
  • A. John
    John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
  • B. John
    John is the given name of John C. Frémont, a 19th-century American explorer, military officer, and politician who was the first Republican nominee for U.S. president.
  • C. John
    John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
  • D. John
    John is the given name of John Adams, an American politician from Ohio.
  • E. John
    John is the given name of John Hersey, the American writer and journalist renowned for his groundbreaking reportage on the aftermath of the Hiroshima bombing.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd994bde0c8190afcba5cb8fa8b984 completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d16144be688190b7120c4f63dc94c3 completed April 4, 2026, 7:06 p.m.
NEDg Description generation batch_69d1621d5dbc81908cf2ecb6b96fb090 completed April 4, 2026, 7:10 p.m.
NED2 Entity disambiguation (via description) batch_69d164f5e2988190a47a3de97e5c74b8 completed April 4, 2026, 7:22 p.m.
Created at: March 30, 2026, 8:03 p.m.