Triple
T10124351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mississippi Burning |
E226174
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Peter Biziou |
E235553
|
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: Peter Biziou | Statement: [Mississippi Burning, cinematographer, Peter Biziou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Biziou Context triple: [Mississippi Burning, cinematographer, Peter Biziou]
-
A.
Peter Biziou
chosen
Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
-
B.
Jean-Michel Defaye
Jean-Michel Defaye is a French composer and trombonist known for his film scores and brass music, particularly for trombone.
-
C.
Patrice Bessac
Patrice Bessac is a French politician known for serving as the mayor of Montreuil, a suburb of Paris.
-
D.
Jean-Pierre Blazy
Jean-Pierre Blazy is a French politician known for serving as the long-time mayor of the suburban Parisian commune of Gonesse.
-
E.
Guy Billout
Guy Billout is a French illustrator and graphic artist renowned for his surreal, meticulously detailed illustrations that often feature ironic or thought-provoking twists.
- 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ebe4548190a484c145639d92f0 |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b78e7ec819093e5e631197ed295 |
completed | May 2, 2026, 7:07 p.m. |
Created at: March 30, 2026, 9:05 p.m.