Triple
T24878201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Draupadi with strong devotional traits |
E622630
|
entity |
| Predicate | highlightsRelationshipWith |
P83409
|
FINISHED |
| Object | Krishna |
—
|
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: Krishna | Statement: [Draupadi with strong devotional traits, highlightsRelationshipWith, Krishna]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highlightsRelationshipWith Context triple: [Draupadi with strong devotional traits, highlightsRelationshipWith, Krishna]
-
A.
showsRelationshipWith
chosen
Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
-
B.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
C.
laterRelationshipWith
Indicates that one entity has a relationship with another that occurs at a later time relative to some reference point or prior relationship.
-
D.
correspondenceRelationshipWith
Indicates a relationship in which two entities are connected through the exchange or maintenance of correspondence (such as letters, messages, or other communications).
-
E.
relationshipType
Indicates the specific kind of relationship that exists between two or more 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_69e2fac4aa848190b3446a3922cec150 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:24 a.m.