Triple
T38695102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pathan |
E949975
|
entity |
| Predicate | stereotypicallyDescribedAs |
P97370
|
FINISHED |
| Object | tribal people |
—
|
LITERAL 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: tribal people | Statement: [Pathan, stereotypicallyDescribedAs, tribal people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stereotypicallyDescribedAs Context triple: [Pathan, stereotypicallyDescribedAs, tribal people]
-
A.
notableStereotype
chosen
Indicates that a commonly recognized stereotype is associated with the subject in relation to the object.
-
B.
isFrequentlyDescribedAs
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
C.
officiallyDescribedAs
Indicates that an entity is formally characterized or defined using a specific description in an official or authoritative context.
-
D.
culturalStereotypeUsed
Indicates that a cultural stereotype is being invoked, applied, or relied upon in the relationship or action between entities.
-
E.
genderStereotypingRecognizedAs
Indicates that a particular belief, behavior, or representation is acknowledged or classified as a form of gender stereotyping.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.