Triple
T29991507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wild Mind: Living the Writer’s Life |
E761890
|
entity |
| Predicate | settingOfContent |
P89047
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [Wild Mind: Living the Writer’s Life, settingOfContent, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingOfContent Context triple: [Wild Mind: Living the Writer’s Life, settingOfContent, United States]
-
A.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
contentIs
Indicates that one entity serves as, or is equivalent to, the content contained within another entity.
-
C.
coversSetting
chosen
Indicates that one entity includes or addresses a particular setting or context within its scope.
-
D.
settingOfControl
Indicates that one entity is the context or environment in which another entity exercises control or governance.
-
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_69f224695498819094a81037cad401e2 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 29, 2026, 6:38 p.m.