Triple
T4646954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beretta |
E102193
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Beretta USA |
E102193
|
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: Beretta USA | Statement: [Beretta, brand, Beretta USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beretta USA Context triple: [Beretta, brand, Beretta USA]
-
A.
Beretta
chosen
Beretta is a historic Italian firearms manufacturer renowned worldwide for its pistols, shotguns, and military small arms.
-
B.
Smith & Wesson
Smith & Wesson is a major American firearms manufacturer renowned for its revolvers, pistols, and long guns used by civilians, law enforcement, and military forces worldwide.
-
C.
Beretta 9
Beretta 9 is a musical artist known for contributing to the track "Digital Bullet."
-
D.
Cobra Firearms
Cobra Firearms is an American firearms manufacturer best known for producing inexpensive, compact derringer-style pistols and small defensive handguns.
-
E.
Maxim Gun Company
Maxim Gun Company was the arms manufacturer founded by inventor Hiram Maxim to produce and market the Maxim machine gun, one of the first fully automatic weapons.
- 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_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. |
Created at: March 20, 2026, 1:14 p.m.