Triple
T27685487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ledisi Sings Nina |
E698013
|
entity |
| Predicate | originalArtistOfMostSongs |
P146258
|
FINISHED |
| Object | Nina Simone |
—
|
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: Nina Simone | Statement: [Ledisi Sings Nina, originalArtistOfMostSongs, Nina Simone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalArtistOfMostSongs Context triple: [Ledisi Sings Nina, originalArtistOfMostSongs, Nina Simone]
-
A.
mostFamousRecordingArtist
Indicates that the subject is the most famous recording artist associated with, or within the context of, the given entity.
-
B.
originalArtistOfSong
chosen
Indicates that one entity is the artist who first created or performed the specified song.
-
C.
hasPrimarySongwriter
Indicates that one entity serves as the main or principal songwriter responsible for creating the songs associated with another entity.
-
D.
isOneOfMostRecordedSongs
Indicates that a song belongs to the group of songs with the highest number of recordings or versions made.
-
E.
mostAwardsArtistCount
Indicates the number of artists who share the highest total count of awards within a given context.
- 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_69ef590df8708190af5488f0638e790c |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
Created at: April 27, 2026, 2:49 p.m.