Triple
T13147758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glorious 39 |
E312383
|
entity |
| Predicate | cinematographyBy |
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: [Glorious 39, cinematographyBy, Danny Cohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Cohen Context triple: [Glorious 39, cinematographyBy, 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.
Alan Cohen
Alan Cohen, better known by his professional name Corey Allen, was an American actor and director recognized for his role in "Rebel Without a Cause" and his later work directing numerous television series.
-
D.
Jon Cohen
Jon Cohen is a screenwriter best known for co-writing the science fiction film "Minority Report."
-
E.
Peter Cohen
Peter Cohen is a musician best known as a member of the South African Afro-fusion band Freshlyground.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eae834908190aecb825db1d705ff |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:10 p.m.