Triple
T16673871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shoop Shoop Song (It’s in His Kiss) |
E405168
|
entity |
| Predicate | coverPerformerNationality |
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: [The Shoop Shoop Song (It’s in His Kiss), coverPerformerNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coverPerformerNationality Context triple: [The Shoop Shoop Song (It’s in His Kiss), coverPerformerNationality, American]
-
A.
originalPerformerNationality
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.
performerOrigin
Indicates that a performer originates from, or is associated with, a particular place or region.
-
D.
coverArtistNationality
chosen
Indicates the nationality of the artist who created the cover for a work.
-
E.
hasPerformerContinent
Indicates that the performer involved in an event or work is associated with a specific continent.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d6904008190a79ab30b6d9ccae9 |
completed | April 18, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_69e319bc73908190a0e38bc926b31f10 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:19 a.m.