Triple
T26198880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harischandra Upakhyan |
E655178
|
entity |
| Predicate | religiousFigureFeatured |
P43932
|
FINISHED |
| Object | King Harishchandra |
—
|
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: King Harishchandra | Statement: [Harischandra Upakhyan, religiousFigureFeatured, King Harishchandra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousFigureFeatured Context triple: [Harischandra Upakhyan, religiousFigureFeatured, King Harishchandra]
-
A.
religiousFigure
chosen
Indicates that one entity is recognized or designated as a religious leader, authority, or sacred person in relation to another entity.
-
B.
religiousFigureType
Indicates the specific role or category of a person recognized as a religious figure (e.g., priest, monk, prophet) within a religious context.
-
C.
religiousFigureBornHere
Indicates that a notable religious figure was born at this location.
-
D.
religiousOrderFeatured
Indicates that a religious order is prominently highlighted, showcased, or given special attention in relation to another entity or context.
-
E.
headOfReligion
Indicates that one entity serves as the supreme leader or highest authority of a particular religion or religious organization.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f739a638748190808e7a2930dce16e |
completed | May 3, 2026, 12:03 p.m. |
| PD | Predicate disambiguation | batch_69f732f2dc6c8190a4e86da98cc5eb05 |
completed | May 3, 2026, 11:35 a.m. |
Created at: April 26, 2026, 8:47 p.m.