Triple

T11747184
Position Surface form Disambiguated ID Type / Status
Subject John Dryden Kuser E279314 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of American businessman and politician John Dryden Kuser, a New Jersey state senator active in the early 20th century.
E279314 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 Dryden Kuser, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Dryden Kuser, givenName, John]
  • A. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • B. John
    John is the first given name of English singer-songwriter Paul Weller, a key figure in the bands The Jam and The Style Council and a prominent solo artist.
  • C. John
    John is the given name of John Alexander Logan, a prominent 19th-century American Civil War general and influential politician.
  • D. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • E. John
    John Abizaid is a retired U.S. Army general who served as commander of United States Central Command and later as U.S. Ambassador to Saudi Arabia.
  • 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 Dryden Kuser, givenName, John]
Generated description
John is the given name of American businessman and politician John Dryden Kuser, a New Jersey state senator active in the early 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of American businessman and politician John Dryden Kuser, a New Jersey state senator active in the early 20th century.
  • A. John chosen
    John is the given name of John Dryden Kuser, an American politician and member of a prominent New Jersey family in the early 20th century.
  • B. John
    John is the given name of John Sherman Cooper, a prominent American politician and long-serving U.S. Senator from Kentucky.
  • C. John
    John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
  • D. John
    John is the given name of John Boehner, the American politician who served as the 53rd Speaker of the United States House of Representatives.
  • E. John
    John is the given name of John F. Shafroth, an American politician who served as a U.S. Representative, Senator, and Governor of Colorado in the late 19th and early 20th centuries.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0196916e081908671e79765d03778 completed April 28, 2026, 2:20 a.m.
NEDg Description generation batch_69f0319520dc8190817c5e75ddb7d40b completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05aa351888190a31092e6a9aee26b completed April 28, 2026, 6:58 a.m.
Created at: April 8, 2026, 9:41 p.m.