Triple
T28639748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varma |
E724887
|
entity |
| Predicate | hasNotableBearerInArts |
P149016
|
FINISHED |
| Object | Raja Ravi Varma |
—
|
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: Raja Ravi Varma | Statement: [Varma, hasNotableBearerInArts, Raja Ravi Varma]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBearerInArts Context triple: [Varma, hasNotableBearerInArts, Raja Ravi Varma]
-
A.
hasNotableArtsBearer
chosen
Indicates that an entity has a person or group notably associated with it in the field of arts.
-
B.
hasArtistOfNotableWork
Indicates that an entity is associated with the artist who created a notable work related to that entity.
-
C.
hasArtisticReputation
Indicates that an entity is recognized or regarded for its artistic skill, contribution, or standing.
-
D.
associatedWithArtHistoricalRoleOfNotableBearer
Indicates a relationship where an entity is linked to the specific art-historical role or function held by a notable individual.
-
E.
hasArtisticWorks
Indicates that an entity possesses, is associated with, or is the creator of one or more artistic works.
- 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69ff409ff5548190849c2d50e99bd807 |
completed | May 9, 2026, 2:11 p.m. |
| PD | Predicate disambiguation | batch_69ff401a5e188190a72f945e910b4a6c |
completed | May 9, 2026, 2:09 p.m. |
Created at: April 28, 2026, 4:43 a.m.