Triple
T14214166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Suschitzky |
E352304
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Valmont |
E267555
|
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: Valmont | Statement: [Peter Suschitzky, notableWork, Valmont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valmont Context triple: [Peter Suschitzky, notableWork, Valmont]
-
A.
Valmont
Valmont is a locality in Switzerland known as the place where the poet Rainer Maria Rilke died.
-
B.
Valmont
chosen
Valmont is a 1989 period drama film directed by Miloš Forman, adapting the novel "Les Liaisons dangereuses" and known for its lush cinematography by Miroslav Ondříček.
-
C.
L’Europe galante
L’Europe galante is a 1697 opéra-ballet by André Campra that blends dance, vocal music, and staged scenes to depict amorous adventures across different European countries.
-
D.
Libertine
"Libertine" is a 1986 French pop song by Mylène Farmer, famous for its provocative lyrics and cinematic, scandalous music video that helped launch her to stardom.
-
E.
Les Orgueilleux
Les Orgueilleux is a 1953 French-Mexican drama film directed by Yves Allégret, known for its intense portrayal of pride, passion, and redemption in a small Mexican town.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620f07bc81909212dcd1c91b5f95 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd1959f3d481909c15730bbd6f4748 |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:06 a.m.