Triple
T37538497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Price |
E933268
|
entity |
| Predicate | hasWeaponProficiency |
P131403
|
FINISHED |
| Object | assault rifles |
—
|
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: assault rifles | Statement: [John Price, hasWeaponProficiency, assault rifles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWeaponProficiency Context triple: [John Price, hasWeaponProficiency, assault rifles]
-
A.
weaponProficiency
chosen
Indicates that an entity has the skill or qualification to effectively use a specified weapon.
-
B.
weaponDiscipline
Indicates that an entity practices, adheres to, or is governed by a particular system, style, or code of weapon use or combat training.
-
C.
teachesWeapon
Indicates that one entity instructs or trains another entity in the use or knowledge of a specific weapon.
-
D.
hasWeaponForm
Indicates that one entity takes the form of, or is manifested as, a particular weapon.
-
E.
wieldedFrom
Indicates that an entity uses or brandishes another entity as a weapon or tool originating from a particular source or location.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: May 3, 2026, 4:17 p.m.