Triple
T26354561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love Revolution |
E662998
|
entity |
| Predicate | hasProductionCredit |
P190652
|
FINISHED |
| Object | Lenny Kravitz |
—
|
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: Lenny Kravitz | Statement: [Love Revolution, hasProductionCredit, Lenny Kravitz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProductionCredit Context triple: [Love Revolution, hasProductionCredit, Lenny Kravitz]
-
A.
hasPerformerCredit
Indicates that a performer is credited for their role or contribution in a specific work, event, or production.
-
B.
hasFilmographyType
Indicates the type or category of film-related work associated with an entity (e.g., actor, director, producer) within its filmography.
-
C.
hasWorkedOnFilmBy
Indicates that one entity has worked on a film that was created, directed, or otherwise authored by another entity.
-
D.
hasImaginaryFilmCredits
Indicates that an entity is (falsely or fictionally) credited with roles or contributions in films that do not actually exist or did not actually involve them.
-
E.
hasStageCreditsIn
Indicates that an entity has performed or been credited for work in a particular stage production or theatrical show.
- 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_69ee8130fc44819094e5ab1da201cd7b |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fcce2cf9188190b3f65b362203a6a3 |
completed | May 7, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69fcccee6240819084680887731ff64b |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fccdd2d84481909a7ce22407def9c7 |
completed | May 7, 2026, 5:37 p.m. |
Created at: April 26, 2026, 10:47 p.m.