Triple
T9997816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karel Roden |
E197247
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Karel Roden |
E197247
|
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: Karel Roden | Statement: [Karel Roden, name, Karel Roden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karel Roden Context triple: [Karel Roden, name, Karel Roden]
-
A.
Karel Roden
chosen
Karel Roden is a Czech actor known internationally for his roles in films such as "Hellboy," "The Bourne Supremacy," and various European and Hollywood productions.
-
B.
Josef Jennewein
Josef Jennewein was a German World War II Luftwaffe fighter ace and former Olympic alpine skier.
-
C.
Karel Gut
Karel Gut was a prominent Czech ice hockey coach and former player who significantly influenced Czechoslovak and later Czech ice hockey at the international level.
-
D.
Siegfried Javotnik
Siegfried Javotnik is the impulsive, idealistic young Austrian protagonist of John Irving’s novel "Setting Free the Bears," whose quixotic plan to liberate zoo animals drives the story’s central events.
-
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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8aa1a881909879a694496f11a5 |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d258439fe88190b17da69f542ecf61 |
completed | April 5, 2026, 12:40 p.m. |
Created at: March 30, 2026, 8:51 p.m.