Triple
T32499224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Fu Manchu |
E830606
|
entity |
| Predicate | ethnicStereotype |
P181769
|
FINISHED |
| Object | Yellow Peril |
—
|
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: Yellow Peril | Statement: [Dr. Fu Manchu, ethnicStereotype, Yellow Peril]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicStereotype Context triple: [Dr. Fu Manchu, ethnicStereotype, Yellow Peril]
-
A.
culturalStereotypeUsed
chosen
Indicates that a cultural stereotype is being invoked, applied, or relied upon in the relationship or action between entities.
-
B.
notableStereotype
Indicates that a commonly recognized stereotype is associated with the subject in relation to the object.
-
C.
hasRacialStereotypes
Indicates that one entity portrays, attributes, or associates racial stereotypes with another entity.
-
D.
ethnicContrast
Indicates a relationship where two or more entities are contrasted or differentiated based on their ethnic backgrounds or identities.
-
E.
ethnicCategoryIn
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
- 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_69f349219cb8819087e120f509629c1b |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 1, 2026, 12:59 a.m.