Triple
T15732408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Jünger |
E381374
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Storm of Steel |
E1174520
|
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: Storm of Steel | Statement: [Ernst Jünger, wrote, Storm of Steel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm of Steel Context triple: [Ernst Jünger, wrote, Storm of Steel]
-
A.
Storm of Steel
chosen
Storm of Steel is a renowned World War I memoir by Ernst Jünger that vividly recounts his harrowing experiences as a German soldier on the Western Front.
-
B.
Die Soldaten
Die Soldaten is a seminal 18th-century German play by Jakob Michael Reinhold Lenz that portrays the moral decay and social consequences of militarism and class oppression.
-
C.
Der Heer
Der Heer is a character in the science fiction novel "Contact" by Carl Sagan.
-
D.
A Study of War
A Study of War is Quincy Wright’s landmark scholarly work that systematically analyzes the causes, nature, and prevention of war using historical, legal, and statistical methods.
-
E.
Cross of Iron
Cross of Iron is a 1977 war film depicting the brutal experiences of German soldiers on the Eastern Front during World War II.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd3614481908b2694b1d3550058 |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8769aaac8190b41141eaa5ac6944 |
completed | May 9, 2026, 7:13 p.m. |
Created at: April 10, 2026, 4:46 a.m.