Triple
T31192468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rock Show (live on Wings over America) |
E795218
|
entity |
| Predicate | originalPerformerOfStudioVersion |
P11499
|
FINISHED |
| Object | Wings |
—
|
NE NERFINISHED |
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: Wings | Statement: [Rock Show (live on Wings over America), originalPerformerOfStudioVersion, Wings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPerformerOfStudioVersion Context triple: [Rock Show (live on Wings over America), originalPerformerOfStudioVersion, Wings]
-
A.
originalPerformer
chosen
Indicates that an entity is the first or initial performer of a work, role, or performance.
-
B.
composerOfOriginalVersion
Indicates that one entity is the creator or composer of the original version of a work, before any adaptations, arrangements, or derivative versions.
-
C.
originalPerformerCharacter
Indicates that a performer is the first or primary actor to portray a particular character in a work.
-
D.
originalArtistType
Indicates the type or category of the artist who originally created the work or content.
-
E.
originalPerformerGenre
Indicates that a performer is originally associated with or primarily known for a particular musical or artistic genre.
- 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_69f224d7a6a481908187c4362a8a525f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a008c77d4dc8190b342d7407eaf48fa |
completed | May 10, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_6a008c18531c8190bbe883b73e6d023f |
completed | May 10, 2026, 1:46 p.m. |
Created at: April 29, 2026, 9:08 p.m.