Triple
T11467716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Day in September |
E271819
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Arthur Cohn |
E685283
|
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: Arthur Cohn | Statement: [One Day in September, producer, Arthur Cohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arthur Cohn Context triple: [One Day in September, producer, Arthur Cohn]
-
A.
Arthur Cohn
chosen
Arthur Cohn is a Swiss film producer renowned for his multiple Academy Award–winning independent and international films.
-
B.
Alfred A. Cohn
Alfred A. Cohn was an American screenwriter and title writer of the silent and early sound film era, best known for his work on influential films such as The Jazz Singer.
-
C.
George Corson
George Corson was a 19th-century British architect known for his significant contributions to the architectural landscape of Leeds, England.
-
D.
Alvin Marks
Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
-
E.
Arthur Dorman
Arthur Dorman was a British industrialist best known as a co-founder of the major steel and engineering firm Dorman Long and Co Ltd, which played a significant role in bridge building and heavy industry.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f74144819094479690c8151073 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8201715c819090cbd7c1e3068bdd |
completed | April 27, 2026, 3:34 p.m. |
Created at: April 8, 2026, 9:35 p.m.