Triple
T13373811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Will Save the Day (remix) |
E319132
|
entity |
| Predicate | originalSongPerformerNationality |
P67547
|
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: [Love Will Save the Day (remix), originalSongPerformerNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalSongPerformerNationality Context triple: [Love Will Save the Day (remix), originalSongPerformerNationality, American]
-
A.
originalPerformerNationality
chosen
Indicates the country or national identity associated with the performer who first performed the work or role.
-
B.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
D.
originCountryOfSong
Indicates the country from which a song originally comes or was first created or released.
-
E.
officialSongPerformer
Indicates that the subject is the performer officially designated as performing the specified song.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcda64a48190b53243a763cd175b |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a02c9abc8190b328e7bae747bfc5 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.