Triple

T13681390
Position Surface form Disambiguated ID Type / Status
Subject John Wentworth E328011 entity
Predicate givenName P17 FINISHED
Object John
John Wentworth was a 19th-century American politician who served multiple terms as a U.S. Representative from Illinois and as mayor of Chicago.
E1055090 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 Wentworth, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Wentworth, givenName, John]
  • A. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John McDowell is a prominent South African-born philosopher known for his influential work in epistemology, philosophy of mind, and ethics.
  • D. John
    John was a Portuguese royal who held the title of Prince of Brazil and later became King John VI of Portugal.
  • E. John
    John is the given name of John Boyle O'Reilly, a 19th-century Irish-born poet, journalist, and civil rights activist who became influential in the United States.
  • 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 Wentworth, givenName, John]
Generated description
John Wentworth was a 19th-century American politician who served multiple terms as a U.S. Representative from Illinois and as mayor of Chicago.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John Wentworth was a 19th-century American politician who served multiple terms as a U.S. Representative from Illinois and as mayor of Chicago.
  • A. John
    John is the given name of John Peter Altgeld, a prominent 19th-century American politician and reformist governor of Illinois.
  • B. John
    John is the given name of John Wesley Longyear, an American politician and jurist from the 19th century.
  • C. John
    John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
  • D. 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.
  • E. John
    John is the given name of John Slidell, a 19th-century American politician and diplomat involved in key events leading up to the U.S. Civil War.
  • 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_69d8076f1fa8819094664a59b55010df completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc66cbb088190907cb89dda8e4ebd completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7943bfaf0819097410e901847d77c completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:53 p.m.