Triple
T6278413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cannon |
E140717
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Lawrence Cannon
Lawrence Cannon is a Canadian politician and diplomat who served as Minister of Foreign Affairs under Prime Minister Stephen Harper.
|
E587027
|
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: Lawrence Cannon | Statement: [Cannon, hasNotableBearer, Lawrence Cannon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Cannon Context triple: [Cannon, hasNotableBearer, Lawrence Cannon]
-
A.
Lawrence Smith
Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
-
B.
Lawrence Fassett
Lawrence Fassett is a manipulative CIA operative who orchestrates a deadly surveillance scheme in Robert Ludlum’s thriller "The Osterman Weekend."
-
C.
John Carnes
John Carnes was an American industrialist best known for co-founding the Lima Locomotive Works, a major manufacturer of steam locomotives in the United States.
-
D.
J. D. Cannon
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."
-
E.
Bruce Cannon
Bruce Cannon is a film editor best known for his work on movies such as the 1993 drama "Poetic Justice."
- 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: Lawrence Cannon Triple: [Cannon, hasNotableBearer, Lawrence Cannon]
Generated description
Lawrence Cannon is a Canadian politician and diplomat who served as Minister of Foreign Affairs under Prime Minister Stephen Harper.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lawrence Cannon Target entity description: Lawrence Cannon is a Canadian politician and diplomat who served as Minister of Foreign Affairs under Prime Minister Stephen Harper.
-
A.
Lawrence Smith
Lawrence Smith is one of the children of bestselling adventure novelist Wilbur Smith.
-
B.
Lawrence Fassett
Lawrence Fassett is a manipulative CIA operative who orchestrates a deadly surveillance scheme in Robert Ludlum’s thriller "The Osterman Weekend."
-
C.
John Carnes
John Carnes was an American industrialist best known for co-founding the Lima Locomotive Works, a major manufacturer of steam locomotives in the United States.
-
D.
J. D. Cannon
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."
-
E.
Bruce Cannon
Bruce Cannon is a film editor best known for his work on movies such as the 1993 drama "Poetic Justice."
- 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_69c008cc158881908df6ec94a911c736 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063daec108190859d1d5dbafd5b42 |
completed | March 22, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c603f29b8c81909636526a35547107 |
completed | March 27, 2026, 4:13 a.m. |
| NEDg | Description generation | batch_69c604c46cb88190a38b597d38aab4ab |
completed | March 27, 2026, 4:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c605222f548190a4219aa431a212ed |
completed | March 27, 2026, 4:18 a.m. |
Created at: March 22, 2026, 4:26 p.m.