Triple
T6594751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of the North Cape |
E148447
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Erich Bey |
E149639
|
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: Erich Bey | Statement: [Battle of the North Cape, commander, Erich Bey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erich Bey Context triple: [Battle of the North Cape, commander, Erich Bey]
-
A.
Erich Bey
chosen
Erich Bey was a German Kriegsmarine admiral during World War II, best known for commanding destroyer forces in major naval operations including the Battle of the North Cape.
-
B.
Erich Roland
Erich Roland is a cinematographer known for his work on the documentary film "He Named Me Malala."
-
C.
Erich Dietl
Erich Dietl was a German Wehrmacht general during World War II, noted for his leadership of mountain troops on the Eastern Front and in Norway.
-
D.
Oscar Werwath
Oscar Werwath was a German-born American engineer and educator best known as the founder and first leader of the Milwaukee School of Engineering.
-
E.
Fritz von Tarlenheim
Fritz von Tarlenheim is a loyal and courageous young nobleman who aids Rudolf Rassendyll in Anthony Hope’s adventure novel "The Prisoner of Zenda."
- 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_69c687e7b8688190811ffee72e096468 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6aed0b364819081cb02af7a38ef11 |
completed | March 27, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbbfb1fc8190b450c8c3536c50dd |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:55 p.m.