Triple
T3127757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Closed on Sunday |
E65336
|
entity |
| Predicate | associatedWithArtistEra |
P45527
|
FINISHED |
| Object | Kanye West Christian era |
—
|
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: Kanye West Christian era | Statement: [Closed on Sunday, associatedWithArtistEra, Kanye West Christian era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithArtistEra Context triple: [Closed on Sunday, associatedWithArtistEra, Kanye West Christian era]
-
A.
associatedWithArtistGroup
Indicates that an entity has a relationship or connection with a particular artist group or collective.
-
B.
associatedWithArtistNickname
Indicates that an entity is connected to or identified by a particular artist’s nickname or pseudonym.
-
C.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
D.
recordingEra
Indicates the historical time period or era during which the recording was made.
-
E.
influencedArtist
Indicates that one artist has had a significant impact on the style, work, or development of another artist.
- 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_69ad8580c72481909672d37acf647893 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada546a6648190bc4bc3e599e6aa95 |
completed | March 8, 2026, 4:35 p.m. |
| PD | Predicate disambiguation | batch_69ad9df62e548190b053e1478deed467 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada0f7c21c819087e9992f5fe30a37 |
completed | March 8, 2026, 4:16 p.m. |
Created at: March 8, 2026, 3:04 p.m.