Triple
T21670957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FG 42 |
E534840
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Krieghoff
Krieghoff is a German firearms manufacturer known for producing high-quality sporting guns and historically notable military rifles.
|
E1495889
|
NE FINISHED |
How this triple was built (4 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: Krieghoff | Statement: [FG 42, manufacturer, Krieghoff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krieghoff Context triple: [FG 42, manufacturer, Krieghoff]
-
A.
Diemaco
Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
-
B.
Bernhardts
Bernhardts is a variant form of the surname Bernhardt, typically used as its plural or possessive form.
-
C.
Speer
Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
-
D.
Franchi
Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
-
E.
Franchi
Franchi is the commonly used nickname for Stadio Artemio Franchi, the main football stadium in Florence, Italy.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Krieghoff Triple: [FG 42, manufacturer, Krieghoff]
Generated description
Krieghoff is a German firearms manufacturer known for producing high-quality sporting guns and historically notable military rifles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krieghoff Target entity description: Krieghoff is a German firearms manufacturer known for producing high-quality sporting guns and historically notable military rifles.
-
A.
Diemaco
Diemaco is a Canadian firearms manufacturer best known for producing and developing variants of the AR-15/M16 family of rifles for military and law enforcement use.
-
B.
Bernhardts
Bernhardts is a variant form of the surname Bernhardt, typically used as its plural or possessive form.
-
C.
Speer
Speer is a German surname most famously associated with Albert Speer, the Nazi architect and Minister of Armaments and War Production during World War II.
-
D.
Franchi
Franchi is an Italian firearms manufacturer best known for its shotguns, operating as a subsidiary of the Beretta Holding group.
-
E.
Franchi
Franchi is the commonly used nickname for Stadio Artemio Franchi, the main football stadium in Florence, Italy.
- F. None of above. chosen
Provenance (5 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a0badd08190ad2ec2b8e46be379 |
completed | April 27, 2026, 4:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a15a57e2081909dae14d826f0f9a9 |
completed | May 17, 2026, 7:23 p.m. |
| NEDg | Description generation | batch_6a0a16ac5ee881909ede61c149be61fa |
completed | May 17, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a17d9a48881908d9858e40d41674c |
completed | May 17, 2026, 7:32 p.m. |
Created at: April 16, 2026, 6:37 p.m.