Triple
T22633454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99 francs |
E558614
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Denis Rouden |
—
|
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: Denis Rouden | Statement: [99 francs, cinematographyBy, Denis Rouden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denis Rouden Context triple: [99 francs, cinematographyBy, Denis Rouden]
-
A.
Denis Rouden
chosen
Denis Rouden is a French cinematographer known for his visually striking work on films such as "The Big Blue."
-
B.
Denis Milden
Denis Milden is a central character in Siegfried Sassoon’s novel "Memoirs of a Fox-Hunting Man," representing the traditional English country gentleman immersed in hunting and rural life.
-
C.
Denis Kosiak
Denis Kosiak is a music producer best known for his work on the project American Teen.
-
D.
Peter Darche
Peter Darche is a musician best known for having been a member of the experimental indie rock band Dirty Projectors.
-
E.
Alex Rudzinski
Alex Rudzinski is a television and live-event director best known for helming high-profile live musical productions and reality competition shows.
- 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_69e245467d9881908d6985bd0db7a1f1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1700be10c8190830393fdbec1033d |
completed | April 29, 2026, 2:42 a.m. |
Created at: April 17, 2026, 3:03 p.m.