Triple
T19517193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. D. Cannon |
E488307
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | J. D. Cannon |
E488307
|
NE FINISHED |
How this triple was built (2 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: J. D. Cannon | Statement: [J. D. Cannon, name, J. D. Cannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. D. Cannon Context triple: [J. D. Cannon, name, J. D. Cannon]
-
A.
J. D. Cannon
chosen
J. D. Cannon was an American character actor best known for his tough, authoritative roles in film and television, including a prominent part on the TV series "McCloud."
-
B.
Lawrence Cannon
Lawrence Cannon is a Canadian politician and diplomat who served as Minister of Foreign Affairs under Prime Minister Stephen Harper.
-
C.
John K. Cannon
John K. Cannon was a senior United States Air Force general who played a key leadership role in Allied air operations during World War II and later served as Commander in Chief of U.S. Air Forces in Europe.
-
D.
Bruce Cannon
Bruce Cannon is a film editor best known for his work on movies such as the 1993 drama "Poetic Justice."
-
E.
John Canon
John Canon was an early American settler and landowner after whom the town of Canonsburg, Pennsylvania, was named.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359ca7648190804c4d655170fda3 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074727002c8190aa3783c66242a4e4 |
completed | May 15, 2026, 4:17 p.m. |
Created at: April 10, 2026, 1:40 p.m.