Triple
T15908143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curly Washburn |
E385775
|
entity |
| Predicate | settingActivity |
P34183
|
FINISHED |
| Object | cattle drive |
—
|
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: cattle drive | Statement: [Curly Washburn, settingActivity, cattle drive]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingActivity Context triple: [Curly Washburn, settingActivity, cattle drive]
-
A.
settingOfActivities
chosen
Indicates that a particular place or context serves as the environment in which certain activities occur or are carried out.
-
B.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
C.
settingAfter
Indicates that one setting or configuration occurs or is applied after another in a sequence or order.
-
D.
settingLocationType
Indicates the type or category of location in which an event, action, or situation takes place.
-
E.
settingControlled
Indicates that one entity regulates, adjusts, or determines the configuration or parameters of another 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.