Triple
T1107029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Droupadi Murmu |
E25507
|
entity |
| Predicate | hasChildren |
P289
|
FINISHED |
| Object | 2 sons (deceased) and 1 daughter |
—
|
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: 2 sons (deceased) and 1 daughter | Statement: [Droupadi Murmu, hasChildren, 2 sons (deceased) and 1 daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildren Context triple: [Droupadi Murmu, hasChildren, 2 sons (deceased) and 1 daughter]
-
A.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
-
B.
has child
Indicates that one entity is the parent of another entity, which is its child.
-
C.
hasChildrenSection
Indicates that an entity includes or is associated with a dedicated section that contains information about its children.
-
D.
hasNoChildren
Indicates that the subject entity does not have any children associated with it.
-
E.
numberOfChildren
chosen
Indicates the total count of children that an entity has.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e47e4881908928900df72781f0 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b74877748190b78cd8847ee4fa7a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:43 p.m.