Triple
T21855275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MP 40 |
E539608
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Haenel |
—
|
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: Haenel | Statement: [MP 40, manufacturer, Haenel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haenel Context triple: [MP 40, manufacturer, Haenel]
-
A.
Haenel
chosen
Haenel is a German firearms manufacturer best known for developing early assault rifle designs and other military small arms.
-
B.
Hirschel
Hirschel is a variant form of the surname Herschel, historically associated with the notable family of astronomers including William and Caroline Herschel.
-
C.
Hasenjaeger
Hasenjaeger is a German surname most notably associated with mathematician and logician Gisbert Hasenjaeger.
-
D.
Hansi
Hansi is a historic town in the Hisar district of Haryana, India, known for its ancient forts and archaeological significance.
-
E.
Lammer
The Lammer is a river in the Austrian state of Salzburg, known for its clear waters and popularity for kayaking and rafting before joining the Salzach River.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d635b59c81908810480f3802b847 |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 16, 2026, 6:56 p.m.