Triple
T27948495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidja |
E703356
|
entity |
| Predicate | hasOriginalPerformerBirthPlace |
P45545
|
FINISHED |
| Object | Kinshasa |
—
|
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: Kinshasa | Statement: [Nidja, hasOriginalPerformerBirthPlace, Kinshasa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalPerformerBirthPlace Context triple: [Nidja, hasOriginalPerformerBirthPlace, Kinshasa]
-
A.
originalPerformer
Indicates that an entity is the first or initial performer of a work, role, or performance.
-
B.
performerOrigin
chosen
Indicates that a performer originates from, or is associated with, a particular place or region.
-
C.
hasOriginalReleaseArtist
Indicates that an entity (such as a work or recording) is associated with the artist who first released it.
-
D.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
E.
originalPerformerGenre
Indicates that a performer is originally associated with or primarily known for a particular musical or artistic genre.
- 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_69ef840c8b2c8190946ae9522774ba51 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f757898fe48190b124dc7301672623 |
completed | May 3, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69f754c484348190948d2a04ff228fb1 |
completed | May 3, 2026, 1:59 p.m. |
Created at: April 27, 2026, 7:23 p.m.