Triple
T28278524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuntunir Boi |
E713075
|
entity |
| Predicate | associatedWithAuthorFamily |
P115015
|
FINISHED |
| Object | Ray family of Bengal |
—
|
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: Ray family of Bengal | Statement: [Tuntunir Boi, associatedWithAuthorFamily, Ray family of Bengal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAuthorFamily Context triple: [Tuntunir Boi, associatedWithAuthorFamily, Ray family of Bengal]
-
A.
familyAssociationOfAuthor
chosen
Indicates that one entity is a family member or relative associated with the author entity.
-
B.
associatedWithAuthorWork
Indicates a relationship where an author is connected to a work they created, contributed to, or are otherwise credited for.
-
C.
associatedWithAuthorHeritage
Indicates a relationship where something is connected or related to the cultural, ethnic, or national heritage of an author.
-
D.
associatedWithAuthorType
Indicates that one entity has a specified type of association or role in relation to an author.
-
E.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_6a011c64ff18819099195701bbecbb20 |
completed | May 11, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_6a011b7f7a508190b2ebb518fb7a2fe9 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 27, 2026, 11:21 p.m.