Triple
T27772050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Night with Jimmy Fallon Theme |
E701771
|
entity |
| Predicate | showCountry |
P163558
|
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: [Late Night with Jimmy Fallon Theme, showCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showCountry Context triple: [Late Night with Jimmy Fallon Theme, showCountry, United States]
-
A.
seeCountry
Indicates that one entity observes, visits, or becomes aware of a particular country.
-
B.
selectionCountry
Indicates that one entity is chosen or designated as the country associated with a particular selection or choice.
-
C.
coveredCountry
Indicates that one entity includes or provides coverage for the territory or jurisdiction of a specified country.
-
D.
collectionCountry
Indicates the country in which an item, specimen, or data was collected.
-
E.
testCountry
Indicates that an entity is associated with or designated as a test or placeholder country within a system or dataset.
- 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63893cc188190883ac9321a95d2dc |
completed | May 2, 2026, 5:46 p.m. |
Created at: April 27, 2026, 4:36 p.m.