Triple
T1299591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Crete |
E27730
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Kurt Student |
E99632
|
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: Kurt Student | Statement: [Battle of Crete, commander, Kurt Student]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Student Context triple: [Battle of Crete, commander, Kurt Student]
-
A.
Kurt Student
chosen
Kurt Student was a German Luftwaffe general and pioneer of airborne forces who played a key role in developing and leading Nazi Germany’s paratrooper units during World War II.
-
B.
Kurt Franz
Kurt Franz was a high-ranking SS officer and one of the principal perpetrators of the Holocaust, notorious for his brutal role in the mass murder of Jews at the Treblinka extermination camp.
-
C.
Werner
Werner is a given name and surname of Germanic origin, commonly used in German-speaking countries.
-
D.
Oskar
Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
-
E.
Helmut
Helmut is a masculine given name of German origin, historically common in German-speaking countries.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c11314a48190ab4efb8b1acdce50 |
completed | March 1, 2026, 10:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce5fa07c8190a410461d51ef1f3a |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:51 p.m.