Triple
T7800504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John S. McCain Sr. |
E180417
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John S. McCain Sr., a prominent U.S. Navy admiral and patriarch of the McCain military and political family.
|
E694188
|
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 S. McCain Sr., givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John S. McCain Sr., givenName, John]
-
A.
John
John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
-
B.
John
John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
-
C.
John
John is the given first name of American character actor and comedian Rags Ragland.
-
D.
John
John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
-
E.
John
John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator franchise.
- 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 S. McCain Sr., givenName, John]
Generated description
John is the given name of John S. McCain Sr., a prominent U.S. Navy admiral and patriarch of the McCain military and political family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John S. McCain Sr., a prominent U.S. Navy admiral and patriarch of the McCain military and political family.
-
A.
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.
-
B.
John
John is the given name of John F. Lehman, a former U.S. Secretary of the Navy and influential defense policy figure.
-
C.
John
John is the given name of John W. Vessey Jr., a U.S. Army general who served as Chairman of the Joint Chiefs of Staff.
-
D.
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.
-
E.
John
John is the given name of John F. Kelly, a retired U.S. Marine Corps general and former White House Chief of Staff.
- 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_69ca827e50cc8190a92a733577184938 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae98765c48190b325eee67bd663fc |
completed | March 30, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13cdb4288190ae3cfe1ee4e3e496 |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1638c9888190be533d55fd0b494f |
completed | March 31, 2026, 12:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a3e6da08190bf4f82b59db41333 |
completed | March 31, 2026, 12:50 a.m. |
Created at: March 30, 2026, 4:33 p.m.