Triple
T36141520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shine Over Babylon |
E1045317
|
entity |
| Predicate | hasAmericanArtist |
P184745
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Shine Over Babylon, hasAmericanArtist, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAmericanArtist Context triple: [Shine Over Babylon, hasAmericanArtist, yes]
-
A.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
-
B.
hasCountryArtist
Indicates a relationship where an entity is associated with, represented by, or features a specific country music artist.
-
C.
hasHonoredArtistNationality
Indicates that an honored artist has a specific nationality associated with their recognition.
-
D.
hasArtistLanguage
Indicates that an artist is associated with, or primarily uses, a particular language in their work or identity.
-
E.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
- 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_69f76e37ace88190a906b107d388f5d1 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b3e2f3c08190be4fd1ae4fa1266d |
completed | May 3, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bcc47081909fe7d592ac69006c |
completed | May 3, 2026, 8:36 p.m. |
| PDg | Predicate description generation | batch_69f7b3e0f1c88190985feab6cee8b05e |
completed | May 3, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:08 p.m.