Triple
T26651023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinyl Films |
E669053
|
entity |
| Predicate | basedOnPersonCreativeVisionOf |
P50489
|
FINISHED |
| Object | Cameron Crowe |
—
|
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: Cameron Crowe | Statement: [Vinyl Films, basedOnPersonCreativeVisionOf, Cameron Crowe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnPersonCreativeVisionOf Context triple: [Vinyl Films, basedOnPersonCreativeVisionOf, Cameron Crowe]
-
A.
basedOnCreativeVisionOf
chosen
Indicates that something is created, designed, or developed according to the artistic or conceptual vision conceived by a particular entity.
-
B.
basedOnPersona
Indicates that something is created, customized, or decided according to a specific persona’s characteristics, preferences, or profile.
-
C.
visionaryOf
Indicates that one entity is the original conceiver or driving visionary behind the creation, direction, or concept of another entity.
-
D.
hasVisionOf
Indicates that one entity perceives, imagines, or foresees another entity or scenario, typically in a mental, prophetic, or visualized form.
-
E.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6df450014819099d118e5c2d697fa |
completed | May 3, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69f6de07836481908785cde9c511920b |
completed | May 3, 2026, 5:32 a.m. |
Created at: April 27, 2026, 2:33 a.m.