Triple
T13475878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canada Lee |
E318249
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Canada Lee |
E318249
|
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: Canada Lee | Statement: [Canada Lee, name, Canada Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Canada Lee Context triple: [Canada Lee, name, Canada Lee]
-
A.
Canada Lee
chosen
Canada Lee was a pioneering African American actor and former boxer renowned for his powerful stage and screen performances and his activism against racial discrimination in mid-20th-century America.
-
B.
China Lee
China Lee is an American model and actress best known as the first Asian American Playboy Playmate, featured as Playmate of the Month in August 1964.
-
C.
John Lee
John Lee is a film editor known for his work on the superhero movie "Black Adam."
-
D.
John Lee
John Lee was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
-
E.
Jack Lee
Jack Lee was a British film director best known for his work on mid-20th-century dramas and war films.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf2551b48190a074fd256791742d |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7462f94988190a857fa8cd32cdd0a |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:42 p.m.