Triple
T5881748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Duel |
E130763
|
entity |
| Predicate | antagonist |
P4675
|
FINISHED |
| Object | Von Koren |
E553031
|
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: Von Koren | Statement: [The Duel, antagonist, Von Koren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Von Koren Context triple: [The Duel, antagonist, Von Koren]
-
A.
Von Koren
chosen
Von Koren is the zealous zoologist and moral absolutist who serves as the central antagonist in Anton Chekhov’s novella "The Duel."
-
B.
Erwin
Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
-
C.
Aeltge Velthuys
Aeltge Velthuys was the wife of Dutch Golden Age painter Carel Fabritius, known primarily through her connection to the artist.
-
D.
Van Brunt
Van Brunt is the surname of Brom Bones, the boisterous rival of Ichabod Crane in Washington Irving’s “The Legend of Sleepy Hollow.”
-
E.
Jan D'Alquen
Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
- 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_69c0085523688190bfd487479ce819e6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03673ecd88190978993056b675259 |
completed | March 22, 2026, 6:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bff29200819080c7d9269ad80c53 |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:57 p.m.