Triple
T29207571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeShawn Jackson |
E740455
|
entity |
| Predicate | countryOfSeriesSetting |
P10686
|
FINISHED |
| Object | Australia |
—
|
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: Australia | Statement: [DeShawn Jackson, countryOfSeriesSetting, Australia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfSeriesSetting Context triple: [DeShawn Jackson, countryOfSeriesSetting, Australia]
-
A.
countryOfSetting
chosen
Indicates the country in which the setting or context of something (such as a story, event, or work) takes place.
-
B.
televisionSeriesCountryOfOrigin
Indicates the country where a television series was originally produced or first created.
-
C.
countryOfFilming
Indicates the country where the filming or production of a work physically took place.
-
D.
nationalityOfFictionalSetting
Indicates that a fictional setting is associated with, or belongs to, a particular nationality or country.
-
E.
basedInSeriesProducedIn
Indicates that a series is produced in the same location or context in which it is based or set.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: April 28, 2026, 12:09 p.m.