Triple
T30294296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaynab bint Khuzayma |
E770472
|
entity |
| Predicate | hasNoRecordedChildrenWith |
P27491
|
FINISHED |
| Object | Muhammad |
—
|
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: Muhammad | Statement: [Zaynab bint Khuzayma, hasNoRecordedChildrenWith, Muhammad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoRecordedChildrenWith Context triple: [Zaynab bint Khuzayma, hasNoRecordedChildrenWith, Muhammad]
-
A.
hasNoChildrenWith
chosen
Indicates that two entities do not have any children together as a result of their relationship.
-
B.
hasNoChildren
Indicates that the subject entity does not have any children associated with it.
-
C.
hasNoDescendants
Indicates that the subject entity does not have any descendants or offspring in the relevant hierarchy or lineage.
-
D.
hasNoLegitimateChildren
Indicates that the subject does not have any children who are legally recognized as legitimate.
-
E.
hasChildrenWith
Indicates that two entities share one or more biological or adopted children together.
- 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_69f224875c288190a9b96b975006ec4a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
Created at: April 29, 2026, 7:47 p.m.