Triple
T34411328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letter to the Editor |
E883274
|
entity |
| Predicate | hasIndianEnglishLiteratureAuthor |
P36129
|
FINISHED |
| Object | R. K. Narayan |
—
|
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: R. K. Narayan | Statement: [Letter to the Editor, hasIndianEnglishLiteratureAuthor, R. K. Narayan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIndianEnglishLiteratureAuthor Context triple: [Letter to the Editor, hasIndianEnglishLiteratureAuthor, R. K. Narayan]
-
A.
writtenByJnanpithLaureate
Indicates that the work was written by an author who has received the Jnanpith Award.
-
B.
literaryAuthor
chosen
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
C.
languageWrittenAbout
Indicates that something is written about or concerning a particular language.
-
D.
languageOfAuthor
Indicates the language in which an author writes or has written their works.
-
E.
hasLiteraryStandard
Indicates that one entity defines, specifies, or embodies the accepted literary norm or standard used by another entity.
- 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_69f349c1f2208190a09a489bb8b2719d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a00262d71488190a769783fb09e5803 |
completed | May 10, 2026, 6:31 a.m. |
| PD | Predicate disambiguation | batch_6a0023985f148190a335a3fb93e9981e |
completed | May 10, 2026, 6:20 a.m. |
Created at: May 1, 2026, 1:59 a.m.