Triple
T25023297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bugsy Malone |
E626636
|
entity |
| Predicate | weaponTypeInUniverse |
P16410
|
FINISHED |
| Object | splurge gun |
—
|
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: splurge gun | Statement: [Bugsy Malone, weaponTypeInUniverse, splurge gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponTypeInUniverse Context triple: [Bugsy Malone, weaponTypeInUniverse, splurge gun]
-
A.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
-
B.
weaponSystemType
Indicates the specific category or kind of weapon system associated with an entity.
-
C.
weaponTypeTested
Indicates that a specific type of weapon has been subjected to a test or evaluation in the described context.
-
D.
weaponsUsed
Indicates that one entity employed or utilized another entity as a weapon in carrying out an action or event.
-
E.
weaponCategory
chosen
Indicates the classification or type of weapon to which an item or armament belongs.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44f672d50819094261f5522c939e4 |
completed | May 1, 2026, 6:59 a.m. |
| PD | Predicate disambiguation | batch_69f442c0c2e88190acd7f170f10ccef6 |
completed | May 1, 2026, 6:05 a.m. |
Created at: April 18, 2026, 6:07 a.m.