Triple
T30294282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaynab bint Khuzayma |
E770472
|
entity |
| Predicate | marriedToMuhammadIn |
P28606
|
FINISHED |
| Object | Medina |
—
|
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: Medina | Statement: [Zaynab bint Khuzayma, marriedToMuhammadIn, Medina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriedToMuhammadIn Context triple: [Zaynab bint Khuzayma, marriedToMuhammadIn, Medina]
-
A.
marriageToMuhammadType
Indicates a marital relationship in which the person is (or was) married to Muhammad, specifying that the marriage is to the individual identified as Muhammad.
-
B.
marriedProphetMuhammadAfter
Indicates that the subject entered into marriage with the Prophet Muhammad after a specified point in time or event.
-
C.
marriageToProphetOccurredIn
chosen
Indicates that the marriage to the prophet took place in a specified location or context.
-
D.
yearOfMarriageToMuhammad_CommonEra
Indicates the calendar year in the Common Era when an individual married Muhammad.
-
E.
hasWifeMentionedInQuran
Indicates that a person has a wife who is explicitly mentioned in the Quran.
- 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_69f7886be6d8819095ec62e4f2cee858 |
completed | May 3, 2026, 5:39 p.m. |
| PD | Predicate disambiguation | batch_69f7841440f48190b4346c08855951d2 |
completed | May 3, 2026, 5:21 p.m. |
Created at: April 29, 2026, 7:47 p.m.