Triple
T32637579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katherine Hale |
E834389
|
entity |
| Predicate | stateOfSettingOfWorkAppearedIn |
P195551
|
FINISHED |
| Object | Kentucky |
—
|
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: Kentucky | Statement: [Katherine Hale, stateOfSettingOfWorkAppearedIn, Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stateOfSettingOfWorkAppearedIn Context triple: [Katherine Hale, stateOfSettingOfWorkAppearedIn, Kentucky]
-
A.
settingTypeOfWorkAppearedIn
Indicates the type or category of work (e.g., novel, film, play) in which a particular setting appears.
-
B.
settingOfWorkAppearsIn
Indicates that a particular place, time, or environment serves as the setting within which a given creative work’s events or narrative occur.
-
C.
settingStateOfWork
Indicates that an entity is assigning or changing the current state or status of a work item or task.
-
D.
establishedInWork
Indicates that something (such as a concept, character, organization, or rule) is first introduced, defined, or formally created within a particular work (e.g., a book, film, or other creative or scholarly work).
-
E.
portrayedInSetting
Indicates that an entity is depicted or represented within a particular setting, environment, or context.
- F. None of above. chosen
Provenance (4 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_69f3492dc2308190a88c6e30a3f3f576 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fdd92396788190ae1424bc1ae55844 |
completed | May 8, 2026, 12:37 p.m. |
| PD | Predicate disambiguation | batch_69fdd678f40481909a717a2daec83b36 |
completed | May 8, 2026, 12:26 p.m. |
| PDg | Predicate description generation | batch_69fdd922d73c81908ad3faade247ec16 |
completed | May 8, 2026, 12:37 p.m. |
Created at: May 1, 2026, 1:07 a.m.