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.