Triple
T38440046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanooru Heggadithi |
E906461
|
entity |
| Predicate | authorOfSourceWorkPenName |
P72674
|
FINISHED |
| Object | Kuvempu |
—
|
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: Kuvempu | Statement: [Kanooru Heggadithi, authorOfSourceWorkPenName, Kuvempu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfSourceWorkPenName Context triple: [Kanooru Heggadithi, authorOfSourceWorkPenName, Kuvempu]
-
A.
basedOnAuthorPseudonym
Indicates that something is derived from, inspired by, or determined using an author's pseudonym rather than their real name.
-
B.
pseudonymCoinedBy
Indicates that a particular pseudonym was created or invented by a specific agent or source.
-
C.
revealedAsPseudonymIn
Indicates that one identity or name is disclosed or recognized as a pseudonym within a particular context, work, or source.
-
D.
pseudonymOfWriter
chosen
Indicates that one entity is a pseudonym used by a writer who is represented by the other entity.
-
E.
firstPublishedUnderPseudonym
Indicates that a work’s initial publication occurred under a pseudonym rather than the creator’s real name.
- 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
Created at: May 3, 2026, 4:31 p.m.