Triple
T2283680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuah |
E51336
|
entity |
| Predicate | hasDescendants |
P17517
|
FINISHED |
| Object | uncertain |
—
|
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: uncertain | Statement: [Shuah, hasDescendants, uncertain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDescendants Context triple: [Shuah, hasDescendants, uncertain]
-
A.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
-
B.
hasNotableDescendant
chosen
Indicates that an entity has at least one descendant who is recognized as notable or significant in some context.
-
C.
hasAncestor
Indicates that one entity is an ancestor (direct or indirect, such as a parent, grandparent, etc.) of another entity in a genealogical or hierarchical lineage.
-
D.
hasStepchildren
Indicates that one person has stepchildren, meaning children of their spouse or partner from a previous relationship.
-
E.
hasNoChildrenWith
Indicates that two entities do not have any children together as a result of their relationship.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2445f388190af643878145f8249 |
completed | March 7, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_69abbdbb9e4c819085fc588626ec7c09 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.