Triple
T28913767
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coming Over |
E733298
|
entity |
| Predicate | countryOfCollaboratingArtist |
P198103
|
FINISHED |
| Object | Norway |
—
|
NE NERFINISHED |
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: Norway | Statement: [Coming Over, countryOfCollaboratingArtist, Norway]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfCollaboratingArtist Context triple: [Coming Over, countryOfCollaboratingArtist, Norway]
-
A.
collaborationCountry
Indicates that there is a collaborative relationship or joint activity involving entities associated with the specified country.
-
B.
producerCountryOfCollaborators
Indicates the country where the producers associated with the collaborators are based or originate.
-
C.
hasCountryArtist
Indicates a relationship where an entity is associated with, represented by, or features a specific country music artist.
-
D.
countryOfLyricist
Indicates the country with which a lyricist is associated, typically by nationality, origin, or primary residence.
-
E.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
- F. None of above. chosen
Provenance (4 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
| PDg | Predicate description generation | batch_69fecb4be24481908bda6197d7fc32f4 |
completed | May 9, 2026, 5:51 a.m. |
Created at: April 28, 2026, 8:13 a.m.