Triple
T11214695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Kerry |
E265405
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
|
E265405
|
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 Kerry, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Kerry, givenName, John]
-
A.
John
John H. Sununu is an American politician and engineer who served as Governor of New Hampshire and later as White House Chief of Staff under President George H. W. Bush.
-
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 the influential American jazz saxophonist and composer John Coltrane.
-
D.
John
John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
-
E.
John
John is the given name of John Brisker, an American professional basketball player known for his time in the ABA and NBA and his mysterious disappearance in the 1970s.
- 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 Kerry, givenName, John]
Generated description
John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
-
A.
John
chosen
John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
-
B.
John
John is the given name of John Kitzhaber, an American politician and former governor of Oregon.
-
C.
John
John is the given name of John Foster Dulles, a prominent 20th-century American diplomat and U.S. Secretary of State during the Eisenhower administration.
-
D.
John
John is the given name of John Bolton, an American diplomat and former U.S. National Security Advisor known for his hawkish foreign policy views.
-
E.
John
John is the given name of John Sherman Cooper, a prominent American politician and long-serving U.S. Senator from Kentucky.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8e8eef48190932a85784ce15c86 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e496c152a081909c6ad8b2a6e41927 |
completed | April 19, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69e49a97db808190aa22d6a103a13e58 |
completed | April 19, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e49d71e81c8190af73931ed30e04be |
completed | April 19, 2026, 9:16 a.m. |
Created at: April 8, 2026, 9:30 p.m.