Triple
T25655967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amader Kotha |
E643236
|
entity |
| Predicate | hasChildDescribed |
P95841
|
FINISHED |
| Object | Sandip Ray |
—
|
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: Sandip Ray | Statement: [Amader Kotha, hasChildDescribed, Sandip Ray]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasChildDescribed Context triple: [Amader Kotha, hasChildDescribed, Sandip Ray]
-
A.
has child
Indicates that one entity is the parent of another entity, which is its child.
-
B.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
-
C.
hasChildOfHead
Indicates that an entity has, as a subordinate or component, another entity that is the child of its head element or primary governing part.
-
D.
hasChildCharacters
chosen
Indicates that one entity includes or is associated with other entities that are considered its child characters in a hierarchical or narrative structure.
-
E.
hasChildrenArea
Indicates that an entity includes or is associated with a designated area intended for children.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 21, 2026, 6:32 p.m.