Triple
T22768252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Bresson |
E563183
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Michael Haneke |
—
|
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: Michael Haneke | Statement: [Robert Bresson, influenced, Michael Haneke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Haneke Context triple: [Robert Bresson, influenced, Michael Haneke]
-
A.
Michael Haneke
chosen
Michael Haneke is an acclaimed Austrian film director and screenwriter known for his austere, unsettling dramas that critically examine modern society and human psychology.
-
B.
Susanne Haneke
Susanne Haneke is the wife of acclaimed Austrian filmmaker Michael Haneke.
-
C.
Ulrich Seidl
Ulrich Seidl is an Austrian film director and screenwriter known for his stark, provocative dramas and documentaries that explore human vulnerability and social taboos with a distinctive, often unsettling visual style.
-
D.
Oliver Hirschbiegel
Oliver Hirschbiegel is a German film and television director best known internationally for his acclaimed World War II drama "Downfall."
-
E.
Stefan Ruzowitzky
Stefan Ruzowitzky is an Austrian film director and screenwriter best known for his Academy Award–winning Holocaust drama "The Counterfeiters."
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a81d3348190b005a43a5e03d406 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:27 p.m.