Triple
T36133173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Temple of Dusk |
E1045079
|
entity |
| Predicate | featuresPerformerOf |
P204757
|
FINISHED |
| Object | Sessue Hayakawa |
E320844
|
NE FINISHED |
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: Sessue Hayakawa | Statement: [The Temple of Dusk, featuresPerformerOf, Sessue Hayakawa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPerformerOf Context triple: [The Temple of Dusk, featuresPerformerOf, 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.
featuresPerformerCameo
Indicates that the subject includes a brief, special appearance by a performer who is not part of the main cast or lineup.
-
C.
featuresArtistFromRegion
Indicates that something includes or highlights an artist whose origin or affiliation is with a specified geographic region.
-
D.
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).
-
E.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
- F. None of above. chosen
Provenance (5 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a4117cdb70c8190b8e83f42e26845e0 |
completed | June 28, 2026, 12:47 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82f8c88190bd77a086023ac0e1 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:08 p.m.