Triple
T24326515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Way Down South |
E613114
|
entity |
| Predicate | hasCreativeRoleOfClarenceMuse |
P155732
|
FINISHED |
| Object | co-writer |
—
|
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: co-writer | Statement: [Way Down South, hasCreativeRoleOfClarenceMuse, co-writer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreativeRoleOfClarenceMuse Context triple: [Way Down South, hasCreativeRoleOfClarenceMuse, co-writer]
-
A.
hasMusicalArtistRoleOfCreator
Indicates that the specified musical artist serves as the creator (e.g., composer, originator) of the referenced musical work or content.
-
B.
hasClericalArtist
Indicates that an entity is associated with a clerical artist who performed or contributed clerical or calligraphic work for it.
-
C.
partOfCreativeCareerOf
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
-
D.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
E.
hasArtistOfNotableWork
Indicates that an entity is associated with the artist who created a notable work related to that entity.
- F. None of above. chosen
Provenance (4 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292edb6f481909f0a6a7592fd7d6a |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
| PDg | Predicate description generation | batch_69f28b7ff1808190870dfe9af789a1eb |
completed | April 29, 2026, 10:51 p.m. |
Created at: April 18, 2026, 1:54 a.m.