Triple
T36017351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunny Khan |
E1041879
|
entity |
| Predicate | ethnicBackgroundInStory |
P194
|
FINISHED |
| Object | South Asian |
—
|
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: South Asian | Statement: [Sunny Khan, ethnicBackgroundInStory, South Asian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicBackgroundInStory Context triple: [Sunny Khan, ethnicBackgroundInStory, South Asian]
-
A.
nationalityInStory
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
B.
ethnicOrigin
chosen
Indicates the relationship where an entity is associated with a particular ethnic group or ancestry.
-
C.
raceOfOrigin
Indicates the racial or ethnic group from which an entity originally comes or is derived.
-
D.
cultureOfOrigin
Indicates the cultural background or tradition from which an entity originates or is derived.
-
E.
hasEthnicOrRegionalOrigin
Indicates that an entity originates from, or is associated with, a particular ethnic group or geographic region.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
Created at: May 3, 2026, 4:07 p.m.