Triple
T30899140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corrina Grant Gill |
E787110
|
entity |
| Predicate | hasFatherGenre |
P184721
|
FINISHED |
| Object | country music |
—
|
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: country music | Statement: [Corrina Grant Gill, hasFatherGenre, country music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFatherGenre Context triple: [Corrina Grant Gill, hasFatherGenre, country music]
-
A.
hasMotherGenre
Indicates that one genre is the parent or broader category from which another, more specific genre is derived.
-
B.
fatherGenre
chosen
Indicates that one genre is the parent or primary source genre from which another genre is derived or developed.
-
C.
hasGenreRelation
Indicates that there is an association between an entity and a specific genre, specifying the type or category it belongs to.
-
D.
hasGenreFeature
Indicates that something possesses a characteristic, element, or trait associated with a particular genre.
-
E.
hasGivenGenre
Indicates that an entity is associated with a specific genre that has been assigned or designated to it.
- 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_69f224bcbcb48190836df847424e4057 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd13595c81908719f52c3d37a7e8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: April 29, 2026, 8:50 p.m.