Triple
T16213265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monday Morning Podcast |
E393518
|
entity |
| Predicate | primaryHostNationality |
P24717
|
FINISHED |
| Object | American |
—
|
LITERAL FINISHED |
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: American | Statement: [Monday Morning Podcast, primaryHostNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryHostNationality Context triple: [Monday Morning Podcast, primaryHostNationality, American]
-
A.
hostNationality
chosen
Indicates the national affiliation or citizenship of the host in a given hosting relationship or context.
-
B.
ownerNationality
Indicates that the owner of an entity has the specified nationality.
-
C.
bearerNationality
Indicates that one entity is the country or nationality associated with the bearer of another entity, such as a document or credential.
-
D.
nativeCountry
Indicates the country in which an entity (typically a person) was born or is originally from.
-
E.
originalNationality
Indicates the country or nationality an entity initially belonged to or originated from, before any later changes in citizenship or affiliation.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.