Triple
T20996497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Day of the Fight |
E517162
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Walter Cartier |
—
|
NE NERFINISHED |
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: Walter Cartier | Statement: [Day of the Fight, follows, Walter Cartier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter Cartier Context triple: [Day of the Fight, follows, Walter Cartier]
-
A.
Walter Cartier
chosen
Walter Cartier was an American middleweight boxer best known as the subject of Stanley Kubrick’s early short documentary film "Day of the Fight."
-
B.
François Dagenais
François Dagenais is a cinematographer best known for his work on the science-fiction film "Johnny Mnemonic."
-
C.
Fernand Vachon
Fernand Vachon was a Canadian professional wrestler best known as a member of the famed Vachon wrestling family.
-
D.
Louis Jacques Bégin
Louis Jacques Bégin was a prominent 19th-century French military physician and surgeon who served as a leader in army medical services and contributed significantly to military medicine.
-
E.
Charles-Aimé Kirkland
Charles-Aimé Kirkland was a Canadian politician from Quebec who served as a long-time Liberal member of the Legislative Assembly and provincial cabinet minister in the mid-20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc21838081909872eed21bc12a08 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.