Triple
T25581386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talk to Me |
E641249
|
entity |
| Predicate | hasPerformerGenreSpecialization |
P21380
|
FINISHED |
| Object | soul |
—
|
LITERAL FINISHED |
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: soul | Statement: [Talk to Me, hasPerformerGenreSpecialization, soul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPerformerGenreSpecialization Context triple: [Talk to Me, hasPerformerGenreSpecialization, soul]
-
A.
hasMusicSpecialism
Indicates that an entity has a particular area of specialization or focus within the field of music.
-
B.
hasPerformerCharacteristic
Indicates that a performer possesses a particular attribute, quality, or characteristic.
-
C.
genreSpecialty
chosen
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
D.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
E.
hasMusicalArtistCharacteristic
Indicates that a musical artist possesses a particular characteristic, quality, or attribute.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 21, 2026, 4:12 p.m.