Triple
T36132658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Call of the East |
E1045063
|
entity |
| Predicate | featuresPerformerOfEthnicity |
P136184
|
FINISHED |
| Object | Japanese actor 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: Japanese actor Sessue Hayakawa | Statement: [The Call of the East, featuresPerformerOfEthnicity, Japanese actor Sessue Hayakawa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresPerformerOfEthnicity Context triple: [The Call of the East, featuresPerformerOfEthnicity, Japanese actor Sessue Hayakawa]
-
A.
artistEthnicity
chosen
Indicates that an artist has a specific ethnic background or affiliation.
-
B.
featuresPerformerType
Indicates that something includes or highlights a performer of a specified type (e.g., musician, actor, or other performance role).
-
C.
EthnicaType
Indicates a relationship where an entity is classified according to a specific ethnic category or type.
-
D.
producerEthnicity
Indicates that the producer has the specified ethnic background or identity.
-
E.
hasEthnicCharacteristic
Indicates that an entity possesses or is associated with a particular ethnic characteristic or identity.
- F. None of above.
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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a39c3df0c348190ab42aa3a7fc1b47b |
completed | June 22, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.