Triple
T8766048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cornyn |
E208341
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Cornyn, a long-serving Republican U.S. Senator from Texas and former Senate Majority Whip.
|
E756254
|
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 Cornyn, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Cornyn, givenName, John]
-
A.
John
John is the given first name of J. Edgar Hoover, the long-serving and influential first director of the United States Federal Bureau of Investigation (FBI).
-
B.
John
John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
-
C.
John
John is the given name of J. Tuzo Wilson, the influential Canadian geophysicist and plate tectonics pioneer.
-
D.
John
John is the first name of J. A. L. Waddell, a historical figure likely known for professional or scholarly contributions under his initials.
-
E.
John
John is the given name of John Edward Taylor, the 19th-century British publisher and founder of The Manchester Guardian newspaper.
- 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 Cornyn, givenName, John]
Generated description
John is the given name of John Cornyn, a long-serving Republican U.S. Senator from Texas and former Senate Majority Whip.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Cornyn, a long-serving Republican U.S. Senator from Texas and former Senate Majority Whip.
-
A.
John
John is the given name of John Sherman Cooper, a prominent American politician and long-serving U.S. Senator from Kentucky.
-
B.
John
John is the given name of John C. Stennis, a long-serving U.S. Senator from Mississippi known for his influence on defense policy.
-
C.
John
John is the given name of John McCain III, the American politician and longtime U.S. senator from Arizona who was the 2008 Republican presidential nominee.
-
D.
John
John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
-
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. 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf519175248190b53c8958cfeeebfa |
completed | April 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69cf52f0886881909ceb9fbe54f84d11 |
completed | April 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf53bc19fc81908f43c3fa29bae021 |
completed | April 3, 2026, 5:44 a.m. |
Created at: March 30, 2026, 6:40 p.m.