Triple
T31522489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sommelier (John Wick) |
E804244
|
entity |
| Predicate | weaponTypesProvided |
P6014
|
FINISHED |
| Object | handguns |
—
|
LITERAL 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: handguns | Statement: [The Sommelier (John Wick), weaponTypesProvided, handguns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponTypesProvided Context triple: [The Sommelier (John Wick), weaponTypesProvided, handguns]
-
A.
weaponTypeTested
Indicates that a specific type of weapon has been subjected to a test or evaluation in the described context.
-
B.
weaponTypeDelivered
Indicates that a specific type of weapon has been delivered from one entity to another.
-
C.
prohibitedWeaponType
Indicates that a particular type of weapon is classified as not allowed or forbidden under specified rules, laws, or agreements.
-
D.
weaponSystemType
Indicates the specific category or kind of weapon system associated with an entity.
-
E.
hasWeaponType
chosen
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
- F. None of above.
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_69f348cf839c81908657048402f7f97b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 9:56 p.m.