Triple
T25484094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaddanapudi Sulochana Rani |
E638651
|
entity |
| Predicate | workSerializedIn |
P161651
|
FINISHED |
| Object | Telugu magazines |
—
|
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: Telugu magazines | Statement: [Yaddanapudi Sulochana Rani, workSerializedIn, Telugu magazines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workSerializedIn Context triple: [Yaddanapudi Sulochana Rani, workSerializedIn, Telugu magazines]
-
A.
workWriterOfWorkAppearedIn
Indicates that a work is written by an author whose work appeared in a particular publication or context.
-
B.
worksFrom
Indicates that an entity performs its work or duties starting from or based at a specified location or source.
-
C.
workInThisPublication
Indicates that an entity performs work or contributes within the context of the specified publication.
-
D.
workBy
Indicates that a work (such as a creation, product, or result) is produced, authored, or created by a particular agent or entity.
-
E.
workedForPublication
Indicates that an entity was employed by or contributed work to a particular publication (such as a newspaper, magazine, or journal).
- F. None of above. chosen
Provenance (4 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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b37a5648190b10d33ae205ccfee |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 21, 2026, 2:31 p.m.