Triple
T27948496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nidja |
E703356
|
entity |
| Predicate | hasOriginalPerformerBirthCountry |
P45545
|
FINISHED |
| Object | Democratic Republic of the Congo |
—
|
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: Democratic Republic of the Congo | Statement: [Nidja, hasOriginalPerformerBirthCountry, Democratic Republic of the Congo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalPerformerBirthCountry Context triple: [Nidja, hasOriginalPerformerBirthCountry, Democratic Republic of the Congo]
-
A.
originalPerformerNationality
Indicates the country or national identity associated with the performer who first performed the work or role.
-
B.
performerOrigin
chosen
Indicates that a performer originates from, or is associated with, a particular place or region.
-
C.
originalPerformer
Indicates that an entity is the first or initial performer of a work, role, or performance.
-
D.
hasOriginalReleaseArtist
Indicates that an entity (such as a work or recording) is associated with the artist who first released it.
-
E.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
- 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_69f75dc25fa08190b371faf36d9fb72c |
completed | May 3, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f758586534819083e91172f4bf5098 |
completed | May 3, 2026, 2:14 p.m. |
Created at: April 27, 2026, 7:23 p.m.