Triple
T18693581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stoeger |
E457058
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Beretta |
—
|
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: Beretta | Statement: [Stoeger, associatedWith, Beretta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beretta Context triple: [Stoeger, associatedWith, Beretta]
-
A.
Beretta
chosen
Beretta is a historic Italian firearms manufacturer renowned worldwide for its pistols, shotguns, and military small arms.
-
B.
Beretta 686
The Beretta 686 is a popular Italian over-under double-barreled shotgun widely used for hunting and sport shooting.
-
C.
Beretta APX
The Beretta APX is a modern, striker-fired, polymer-framed semi-automatic pistol designed for military, law enforcement, and civilian use.
-
D.
Beretta 1301
The Beretta 1301 is a modern semi-automatic shotgun popular for tactical, law enforcement, and competitive shooting due to its reliability, fast cycling, and lightweight design.
-
E.
Beretta 687
The Beretta 687 is a high-quality Italian over-under shotgun renowned for its reliability, craftsmanship, and popularity among sport shooters and hunters.
- 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e581f48190997d279296a31e7f |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.