Triple
T776359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sturmabteilung |
E16393
|
entity |
| Predicate | translationOfName |
P15
|
FINISHED |
| Object | Storm Detachment |
E81657
|
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 Detachment | Statement: [Sturmabteilung, translationOfName, Storm Detachment]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Storm Detachment Context triple: [Sturmabteilung, translationOfName, Storm Detachment]
-
A.
Storm Detachment
chosen
Storm Detachment is the English translation of "Sturmabteilung," the paramilitary wing of the early Nazi Party in Germany.
-
B.
The Storm
"The Storm" is a short story by American author Kate Chopin that explores themes of passion, infidelity, and female desire in the context of a brief extramarital encounter during a Louisiana thunderstorm.
-
C.
Leaf Storm
Leaf Storm is a novella by Gabriel García Márquez that introduces the fictional town of Macondo and explores themes of solitude, memory, and moral conflict.
-
D.
Firestorm
Firestorm is Apple’s high-performance ARM CPU core design used in the M1 chip to deliver fast, power-efficient processing.
-
E.
Stellar Wind
Stellar Wind was a secret post-9/11 National Security Agency surveillance program that collected large-scale communications data on U.S. persons without traditional warrants.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a733add08190bccd99cf9ec9096e |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d9b8b308190b19378e797f499b1 |
completed | March 3, 2026, 5:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.