Triple
T23634206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Air with Ryan Seacrest |
E583695
|
entity |
| Predicate | originalStationCountry |
P35840
|
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: [On Air with Ryan Seacrest, originalStationCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalStationCountry Context triple: [On Air with Ryan Seacrest, originalStationCountry, United States]
-
A.
originalLocationCountry
Indicates the country where an entity was originally located or from which it initially originated.
-
B.
associatedStationCountry
chosen
Indicates that there is a relationship linking a station to the country with which it is associated.
-
C.
ownerCountry
Indicates the country that has legal ownership or control over a given entity.
-
D.
formerCountryOfOrigin
Indicates that an entity was previously the country from which another entity originated, but is no longer its current country of origin.
-
E.
laterCountryOfOrigin
Indicates that an entity’s country of origin changed, and this predicate specifies the country that became its origin at a later time than a previously associated country.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1eb38a481909f7ceeaefb7b43ce |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.