Triple
T17444122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sheriff Andy Taylor |
E424733
|
entity |
| Predicate | weaponCarried |
P63891
|
FINISHED |
| Object | rarely carries a 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: rarely carries a gun | Statement: [Sheriff Andy Taylor, weaponCarried, rarely carries a gun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weaponCarried Context triple: [Sheriff Andy Taylor, weaponCarried, rarely carries a gun]
-
A.
toolCarried
chosen
Indicates that one entity is carrying or transporting a tool with them.
-
B.
armedBy
Indicates that one entity is supplied with weapons, equipment, or armaments by another entity.
-
C.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
D.
weaponsBay
Indicates that one entity serves as the weapons bay (storage or housing area for weapons) of another entity.
-
E.
weaponUsedAgainst
Indicates that a particular weapon or instrument is employed in an act of aggression, attack, or harm directed toward a specific target or entity.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.