Triple
T32762272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda... Live in L.A. |
E837788
|
entity |
| Predicate | musicArtistOrigin |
P180954
|
FINISHED |
| Object | Los Angeles |
—
|
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: Los Angeles | Statement: [Yolanda... Live in L.A., musicArtistOrigin, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicArtistOrigin Context triple: [Yolanda... Live in L.A., musicArtistOrigin, Los Angeles]
-
A.
musicArtistOriginCity
chosen
Indicates the city from which a music artist originates or is primarily associated.
-
B.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
C.
typicalArtistOrigin
Indicates that an artist is commonly or characteristically associated with originating from a particular place or region.
-
D.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
-
E.
coArtistNationality
Indicates that two artists who have collaborated share the same nationality.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: May 1, 2026, 1:13 a.m.