Triple
T4451391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Trial |
E97615
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Josef K. |
E439656
|
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: Josef K. | Statement: [The Trial, mainCharacter, Josef K.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josef K. Context triple: [The Trial, mainCharacter, Josef K.]
-
A.
Josef K.
chosen
Josef K. is the bewildered bank clerk at the center of Franz Kafka's novel "The Trial," whose unexplained arrest and futile struggle against an opaque legal system embody themes of alienation and bureaucratic absurdity.
-
B.
Zhozef Kotin
Zhozef Kotin was a prominent Soviet tank designer best known for leading the development of several heavy tanks used during World War II.
-
C.
Josef Naus
Josef Naus was a 19th-century Bavarian surveyor and mountaineer best known for leading the first recorded ascent of Germany’s highest peak, the Zugspitze.
-
D.
Josef Jennewein
Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
-
E.
Josef Swickard
Josef Swickard was a German-born American character actor of the silent film era, known for his numerous supporting roles in early Hollywood 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f3731c81909cc5a782b12ddd38 |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6281cef58819095182f8c89fe6e59 |
completed | March 15, 2026, 3:31 a.m. |
Created at: March 12, 2026, 11:33 p.m.