Triple
T10005040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | When You See Yourself |
E198219
|
entity |
| Predicate | byArtistNationality |
P3285
|
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 You See Yourself, byArtistNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: byArtistNationality Context triple: [When You See Yourself, byArtistNationality, American]
-
A.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
B.
performingArtistNationality
chosen
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
worksWithArtistNationality
Indicates that one entity collaborates or is professionally associated in their work with artists of a specified nationality.
-
D.
coverArtistNationality
Indicates the nationality of the artist who created the cover for a work.
-
E.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd157d9c8190b863e4264f9a48b1 |
completed | April 2, 2026, 1:57 a.m. |
| PD | Predicate disambiguation | batch_69cd1da2cf9081908a6c0eb5247d0bc2 |
completed | April 1, 2026, 1:29 p.m. |
Created at: March 30, 2026, 8:51 p.m.