Triple
T35359930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strawberry Letter 23 |
E1021447
|
entity |
| Predicate | coverVersionArtistNationality |
P79259
|
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: [Strawberry Letter 23, coverVersionArtistNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverVersionArtistNationality Context triple: [Strawberry Letter 23, coverVersionArtistNationality, American]
-
A.
coverArtistNationality
chosen
Indicates the nationality of the artist who created the cover for a work.
-
B.
coverArtistOf
Indicates that one entity is the artist who created the cover artwork for another entity, such as a book, album, or publication.
-
C.
coverOfArtist
Indicates that one entity is a cover version of a musical work originally performed or recorded by the specified artist.
-
D.
hasCountryCoverVersionBy
Indicates that one entity is a country music cover version of another entity (typically an original song or recording).
-
E.
creditedNationalityOfArtist
Indicates the nationality that is officially attributed to an artist, as used in credits or cataloging, in relation to that 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_69f76def44c881908a20e8008572eb44 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 3, 2026, 4:03 p.m.