Triple
T18135548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stagecoach (1986 film) |
E434125
|
entity |
| Predicate | featuresCountryMusicians |
P122162
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Stagecoach (1986 film), featuresCountryMusicians, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresCountryMusicians Context triple: [Stagecoach (1986 film), featuresCountryMusicians, true]
-
A.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
B.
notableArtistFromRegion
Indicates that an artist is recognized as notable and originates from, or is strongly associated with, a particular geographic region.
-
C.
featuresArtistFromRegion
chosen
Indicates that something includes or highlights an artist whose origin or affiliation is with a specified geographic region.
-
D.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
-
E.
notableMusician
Indicates that the subject is a musician who is widely recognized or distinguished for their musical work or impact.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0677088190aaf584882b3d74a1 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.