Triple
T36132928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The City of Dim Faces |
E1045071
|
entity |
| Predicate | featuresPerformerOfAsianDescent |
—
|
GENERATED |
| Object | Sessue Hayakawa |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPerformerOfAsianDescent Context triple: [The City of Dim Faces, featuresPerformerOfAsianDescent, Sessue Hayakawa]
-
A.
featuresPerformerType
Indicates that something includes or highlights a performer of a specified type (e.g., musician, actor, or other performance role).
-
B.
performerDemographic
Indicates the demographic characteristics (such as age, gender, ethnicity, or other group attributes) of the performer involved in an action or event.
-
C.
featuresPerformerCameo
Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
-
D.
artistEthnicity
chosen
Indicates that an artist has a specific ethnic background or affiliation.
-
E.
featuresArtistAs
Indicates that one entity includes or presents another entity in the role of an artist (e.g., a work, event, or product featuring a specific artist).
- F. None of above.
Provenance (1 batch)
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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.