Triple
T14567229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amour |
E341814
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Michael Haneke filmography |
E265954
|
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: Michael Haneke filmography | Statement: [Amour, partOf, Michael Haneke filmography]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Haneke filmography Context triple: [Amour, partOf, Michael Haneke filmography]
-
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.
Schygulla
Schygulla is a German surname most famously borne by actress Hanna Schygulla, a prominent figure in New German Cinema.
-
D.
The Piano Teacher
The Piano Teacher is a dark psychological novel by Austrian Nobel laureate Elfriede Jelinek that explores repression, sexuality, and power through the disturbed inner life of a Vienna piano instructor.
-
E.
Hungarian cinema
Hungarian cinema is the national film industry and artistic tradition of Hungary, known for its influential directors, distinctive storytelling, and contributions to both European and world cinema.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ac669cc819083e05620b1e8c370 |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:23 a.m.