Triple
T26655231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kodavatiganti Kutumba Rao |
E666476
|
entity |
| Predicate | literaryPosition |
P15535
|
FINISHED |
| Object | critic of social injustice |
—
|
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: critic of social injustice | Statement: [Kodavatiganti Kutumba Rao, literaryPosition, critic of social injustice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: literaryPosition Context triple: [Kodavatiganti Kutumba Rao, literaryPosition, critic of social injustice]
-
A.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
B.
literaryRole
chosen
Indicates the specific narrative or functional role an entity holds within a literary work or text.
-
C.
literaryAuthor
Indicates that one entity is the author or writer of a literary work represented by the other entity.
-
D.
positionInAuthorOeuvre
Indicates the relative placement or order of a work within an author's overall body of work.
-
E.
positionOfAuthor
Indicates the spatial or organizational location associated with an author in relation to some reference context.
- 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_69ee9cf8c7188190b9b00270a8a89164 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f66c5c13808190887180099745673b |
completed | May 2, 2026, 9:27 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 27, 2026, 2:34 a.m.