Triple
T20129882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yaksha Prashna |
E490859
|
entity |
| Predicate | revealsRelationship |
P23406
|
FINISHED |
| Object | Dharma as father of Yudhishthira |
—
|
LITERAL FINISHED |
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: Dharma as father of Yudhishthira | Statement: [Yaksha Prashna, revealsRelationship, Dharma as father of Yudhishthira]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: revealsRelationship Context triple: [Yaksha Prashna, revealsRelationship, Dharma as father of Yudhishthira]
-
A.
showsRelationshipWith
Indicates that one entity visually or explicitly presents or demonstrates its connection or association with another entity.
-
B.
reportsRelationship
Indicates that one entity formally provides information, findings, or status about another entity or situation.
-
C.
inRelationshipWith
Indicates that two entities are mutually involved in a defined personal, romantic, or partnership relationship with each other.
-
D.
portraysRelationship
chosen
Indicates that one entity depicts, represents, or illustrates a relationship between other entities.
-
E.
trackRelationship
Indicates a connection in which one entity monitors, follows, or keeps a record of another entity’s state, behavior, or changes over time.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66760b8f08190a66fbb2e9e3925a3 |
completed | April 20, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69e54cfb0d0081908e789b9b57e96668 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:31 p.m.