Triple
T8733637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronin |
E207317
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Robert Fraisse |
E34846
|
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: Robert Fraisse | Statement: [Ronin, cinematographer, Robert Fraisse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Fraisse Context triple: [Ronin, cinematographer, Robert Fraisse]
-
A.
Robert Fraisse
chosen
Robert Fraisse is a French cinematographer known for his visually striking work on international films, including major war dramas and action features.
-
B.
J. André Fouilhoux
J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
-
C.
Alexandre de Franceschi
Alexandre de Franceschi is a film editor known for his work on the movie "Lion."
-
D.
Michel Andrault
Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
-
E.
René Le Hénaff
René Le Hénaff was a French film editor and director known for his work on numerous classic French films in the early to mid-20th century.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d2a26988190acfda17f232e610a |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f67c3a0881909f24d85d74e4c061 |
completed | April 9, 2026, 12:44 a.m. |
Created at: March 30, 2026, 6:37 p.m.