Triple
T22039676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Late Night Feelings |
E544304
|
entity |
| Predicate | featuresVocalist |
P8086
|
FINISHED |
| Object | Raissa |
—
|
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: Raissa | Statement: [Late Night Feelings, featuresVocalist, Raissa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raissa Context triple: [Late Night Feelings, featuresVocalist, Raissa]
-
A.
Raissa
chosen
Raissa is a feminine given name of Russian origin, commonly used in Slavic countries.
-
B.
Dama
Dama is a settlement associated with the locality of Bua, likely a small village or community within its administrative area.
-
C.
Judit
Judit is a feminine given name, commonly used in several European languages, that corresponds to the English name Judith.
-
D.
Raïssa
Raïssa is a feminine given name of French and Russian origin, borne by several notable cultural and intellectual figures.
-
E.
Naum
Naum is a given name most notably borne by the pioneering Constructivist sculptor Naum Gabo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e2f98c8819083e11eab90942a78 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127f532b08190be80c5af039b4c29 |
completed | April 28, 2026, 9:34 p.m. |
Created at: April 16, 2026, 8:25 p.m.