Triple
T34042039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whipping Post (At Fillmore East version) |
E872974
|
entity |
| Predicate | hasRoleInArtistCareer |
P50390
|
FINISHED |
| Object | signature live piece |
—
|
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: signature live piece | Statement: [Whipping Post (At Fillmore East version), hasRoleInArtistCareer, signature live piece]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoleInArtistCareer Context triple: [Whipping Post (At Fillmore East version), hasRoleInArtistCareer, signature live piece]
-
A.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
B.
basedOnArtistCareerOf
Indicates that something is derived from, inspired by, or conceptually grounded in the professional career or body of work of a particular artist.
-
C.
isInGenreOfArtistCareer
Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
-
D.
hasMusicalArtistOccupation
Indicates that an entity has an occupation or professional role as a musical artist.
-
E.
roleInArtistCareers
chosen
Indicates the specific function or contribution an entity has had in shaping, supporting, or influencing one or more artists’ professional careers.
- 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: May 1, 2026, 1:51 a.m.