Triple
T28367030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jana Aranya |
E718517
|
entity |
| Predicate | authorAlias |
P46855
|
FINISHED |
| Object | Shankar |
—
|
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: Shankar | Statement: [Jana Aranya, authorAlias, Shankar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorAlias Context triple: [Jana Aranya, authorAlias, Shankar]
-
A.
creatorAlias
Indicates that an alternative or secondary name is used to refer to the creator of an entity.
-
B.
authorNameVariant
Indicates that an entity has an alternative or variant form of its author name, such as different spellings, transliterations, or name formats.
-
C.
hasAuthorAlias
chosen
Indicates that an entity (such as a person or author record) is known by an alternative name or pseudonym used as an author.
-
D.
alsoKnownAsRealAuthor
Indicates that an entity is an alternative or alias name identifying the same individual who is the actual (real) author of a work.
-
E.
authorOfNamesFor
Indicates that one entity is the creator or originator of the names assigned to another entity or set of entities.
- 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_69eff6ed5af48190be4e0adf298223e0 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
Created at: April 28, 2026, 12:56 a.m.