Triple
T28083511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banshiwala |
E709752
|
entity |
| Predicate | hasWriterSource |
P165119
|
FINISHED |
| Object | acclaimed writer Shirshendu Mukhopadhyay |
—
|
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: acclaimed writer Shirshendu Mukhopadhyay | Statement: [Banshiwala, hasWriterSource, acclaimed writer Shirshendu Mukhopadhyay]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWriterSource Context triple: [Banshiwala, hasWriterSource, acclaimed writer Shirshendu Mukhopadhyay]
-
A.
hasWriterCharacter
Indicates that a writer is a character within a work, linking the work to the character who serves as its writer.
-
B.
hasWriterBlock
Indicates that an entity (typically a writer) is experiencing difficulty producing written work due to a creative or mental block.
-
C.
hasHookWriter
Indicates that an entity has a writer responsible for creating its hook or introductory content.
-
D.
hasWritingAssociated
Indicates that there is a piece of writing (such as a text, document, or inscription) linked or connected to the given entity.
-
E.
hasWritingType
Indicates that one entity is associated with, or characterized by, a particular type or form of writing.
- 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_69ef9b7037f0819095bb90eaccbcaf32 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 8:53 p.m.