Triple
T32192370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabelle Streator |
E822290
|
entity |
| Predicate | appearsInSeriesCountryOfOrigin |
P22458
|
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: [Annabelle Streator, appearsInSeriesCountryOfOrigin, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInSeriesCountryOfOrigin Context triple: [Annabelle Streator, appearsInSeriesCountryOfOrigin, United States]
-
A.
televisionSeriesCountryOfOrigin
Indicates the country where a television series was originally produced or first created.
-
B.
appearsInWorkCountryOfOrigin
chosen
Indicates that an entity appears in a work whose country of origin is the specified country.
-
C.
appearsInSeries
Indicates that an entity is featured or occurs within a particular series.
-
D.
televisionSeriesDebutCountry
Indicates the country in which a television series was first released or premiered.
-
E.
appearsInSeriesBy
Indicates that one entity (such as a work or character) is featured within a series that is created, authored, or produced by 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: May 1, 2026, 12:35 a.m.