Triple
T5862453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When Love Comes to Town |
E130306
|
entity |
| Predicate | featuredPerformerNationality |
P9644
|
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: [When Love Comes to Town, featuredPerformerNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredPerformerNationality Context triple: [When Love Comes to Town, featuredPerformerNationality, American]
-
A.
featuredArtistNationality
chosen
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
B.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
D.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
E.
performerFullName
Indicates the complete name of the entity that performs an action or role in the described context.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c044ab0a048190b84be40fb13c0f50 |
completed | March 22, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c03345ca0c819081c81148d054fed2 |
completed | March 22, 2026, 6:21 p.m. |
Created at: March 22, 2026, 3:56 p.m.