Triple
T3292051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Danish Girl |
E69123
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Danny Cohen |
E33367
|
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: Danny Cohen | Statement: [The Danish Girl, cinematographer, Danny Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Cohen Context triple: [The Danish Girl, cinematographer, Danny Cohen]
-
A.
Danny Cohen
chosen
Danny Cohen is a British cinematographer known for his acclaimed work on films such as The King’s Speech and collaborations with director Tom Hooper.
-
B.
Dan Cohen
Dan Cohen is a film and television producer best known for his work on major genre projects, including serving as an executive producer on the hit Netflix series "Stranger Things."
-
C.
Andrew Cohen
Andrew Cohen is an entrepreneur best known as a founder of the wireless technology company Qualcomm.
-
D.
Joel Cohen
Joel Cohen is an American screenwriter best known for co-writing the screenplay of Pixar's landmark animated film "Toy Story."
-
E.
Rob Cohen
Rob Cohen is an American film director and producer best known for helming high-profile action and adventure movies such as "The Fast and the Furious" and "xXx."
- 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_69ad859d45748190b0742408c954b39f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb07379dc8190b7bb409bcf42bdd6 |
completed | March 8, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3cfec98819094208d2cb6e459ea |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:10 p.m.