Triple
T20666164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stalag 17 |
E507890
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Edmund Trzcinski |
—
|
NE NERFINISHED |
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: Edmund Trzcinski | Statement: [Stalag 17, author, Edmund Trzcinski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edmund Trzcinski Context triple: [Stalag 17, author, Edmund Trzcinski]
-
A.
Edmund Trzcinski
chosen
Edmund Trzcinski was an American playwright and actor best known as the co-writer and a performer in the World War II prisoner-of-war drama "Stalag 17."
-
B.
Ignacy Witczak
Ignacy Witczak was a Soviet intelligence officer who operated undercover as a diplomat in the United States during World War II.
-
C.
Henryk Sucharski
Henryk Sucharski was a Polish military officer best known for commanding the heroic defense of the Westerplatte peninsula during the opening days of World War II.
-
D.
Stanislaw Zylewicz
Stanislaw Zylewicz is a Polish film producer best known for his work on Roman Polanski’s acclaimed 1962 psychological drama "Knife in the Water."
-
E.
Emeryk Hutten-Czapski
Emeryk Hutten-Czapski was a Polish nobleman and renowned 19th-century numismatist whose extensive coin collection became the foundation of the museum that bears his name.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c39dd48190965d65537592aef6 |
completed | April 20, 2026, 11:24 p.m. |
Created at: April 16, 2026, 11:44 a.m.