Triple
T34896236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prey for Rock & Roll |
E1006441
|
entity |
| Predicate | hasOriginalSongsPerformedBy |
P87701
|
FINISHED |
| Object | Gina Gershon |
—
|
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: Gina Gershon | Statement: [Prey for Rock & Roll, hasOriginalSongsPerformedBy, Gina Gershon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalSongsPerformedBy Context triple: [Prey for Rock & Roll, hasOriginalSongsPerformedBy, Gina Gershon]
-
A.
hasOriginalMusicBy
Indicates that the original musical score or soundtrack for a work was created or composed by a specified entity.
-
B.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
C.
includesOriginalSongsBy
chosen
Indicates that one entity (such as a collection or work) contains original songs that are created or performed by another entity.
-
D.
performedSongsBy
Indicates that one entity has performed songs that were created, owned, or associated with another entity.
-
E.
usesOriginalVocalsFrom
Indicates that one work incorporates the original, unaltered vocal recordings from another work.
- 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_69f76dbfe5788190ad8b64f241f470c8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 3, 2026, 4 p.m.