Triple
T4646953
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beretta |
E102193
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
Stoeger
Stoeger is a firearms manufacturer and importer known for producing affordable shotguns, pistols, and airguns, and operating as part of the Beretta Holding group.
|
E457058
|
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: Stoeger | Statement: [Beretta, subsidiary, Stoeger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stoeger Context triple: [Beretta, subsidiary, Stoeger]
-
A.
Mauser
Mauser is a historic German arms manufacturer renowned for its influential bolt-action rifles and other military firearms.
-
B.
Steyr
Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
-
C.
Steyr Mannlicher
Steyr Mannlicher is an Austrian firearms manufacturer renowned for producing high-quality rifles and pistols, including the original Steyr AUG assault rifle.
-
D.
Beretta
Beretta is a historic Italian firearms manufacturer renowned worldwide for its pistols, shotguns, and military small arms.
-
E.
Steyer
Steyer is a Polish surname most notably borne by Włodzimierz Steyer, a Polish naval officer and admiral.
- 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: Stoeger Triple: [Beretta, subsidiary, Stoeger]
Generated description
Stoeger is a firearms manufacturer and importer known for producing affordable shotguns, pistols, and airguns, and operating as part of the Beretta Holding group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stoeger Target entity description: Stoeger is a firearms manufacturer and importer known for producing affordable shotguns, pistols, and airguns, and operating as part of the Beretta Holding group.
-
A.
Mauser
Mauser is a historic German arms manufacturer renowned for its influential bolt-action rifles and other military firearms.
-
B.
Steyr
Steyr is a historic industrial city in northern Austria known for its well-preserved old town and long tradition of metalworking and manufacturing.
-
C.
Steyr Mannlicher
Steyr Mannlicher is an Austrian firearms manufacturer renowned for producing high-quality rifles and pistols, including the original Steyr AUG assault rifle.
-
D.
Beretta
Beretta is a historic Italian firearms manufacturer renowned worldwide for its pistols, shotguns, and military small arms.
-
E.
Steyer
Steyer is a Polish surname most notably borne by Włodzimierz Steyer, a Polish naval officer and admiral.
- 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_69bd43d71a308190afea7280841b0de8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd62fcb8508190a17c4437b3d226b2 |
completed | March 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfadfe8b4819088a5fb1565bbe94a |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfb9422e48190819d5d99e72e8854 |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc6ac91c819090776365d3dc05d4 |
completed | March 21, 2026, 2:03 a.m. |
Created at: March 20, 2026, 1:14 p.m.