Triple
T35221310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luckenbach, Texas |
E1016961
|
entity |
| Predicate | songFeaturesArtist |
P20942
|
FINISHED |
| Object | Willie Nelson |
—
|
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: Willie Nelson | Statement: [Luckenbach, Texas, songFeaturesArtist, Willie Nelson]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songFeaturesArtist Context triple: [Luckenbach, Texas, songFeaturesArtist, Willie Nelson]
-
A.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
B.
featuresSongwriterCovered
Indicates that one entity includes or highlights a songwriter whose work has been covered in a song or performance by another entity.
-
C.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
-
D.
featuresMusician
chosen
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
E.
featuresVariousArtists
Indicates that something (typically a creative work) includes contributions from multiple distinct artists rather than a single primary artist.
- 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_69f76de072908190ab65038a8a7b6a79 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.