Triple
T23604139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James "Sonny" Crockett |
E582843
|
entity |
| Predicate | laterWeapon |
P151929
|
FINISHED |
| Object | Smith & Wesson 645 |
—
|
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: Smith & Wesson 645 | Statement: [James "Sonny" Crockett, laterWeapon, Smith & Wesson 645]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: laterWeapon Context triple: [James "Sonny" Crockett, laterWeapon, Smith & Wesson 645]
-
A.
formerWeapon
Indicates that an entity once functioned as a weapon but no longer serves in that role.
-
B.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
C.
weapon
Indicates that one entity is used as a weapon by, or serves as the weapon of, another entity.
-
D.
laterWielder
Indicates that one entity becomes the wielder or user of an object or power after another entity who wielded it earlier.
-
E.
featuredWeapon
chosen
Indicates that a particular weapon is highlighted or prominently showcased in relation to an entity, such as a character, event, or context.
- 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_69e248faa2788190abb1581742daa6aa |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0ee6ce881909f556404cc235418 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:44 p.m.