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.