Triple
T11854573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrah bint al-Harith |
E282000
|
entity |
| Predicate | hadChildrenWithMuhammad |
P101876
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Barrah bint al-Harith, hadChildrenWithMuhammad, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadChildrenWithMuhammad Context triple: [Barrah bint al-Harith, hadChildrenWithMuhammad, no]
-
A.
hadChildren
Indicates that the subject person is a parent of one or more children.
-
B.
successorAsHusbandOfUmmSalama
Indicates that one person became the next husband of Umm Salama after a previous husband.
-
C.
predecessorAsHusbandOfUmmSalama
Indicates that one person was the husband of Umm Salama immediately before another specified husband in a chronological sequence of her marriages.
-
D.
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.
-
E.
wasMarriedBeforeProphet
Indicates that a person had been married at least once prior to the time of becoming a prophet.
- F. None of above. chosen
Provenance (4 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a697f4108190af984932d2118472 |
completed | April 10, 2026, 7:28 a.m. |
| PD | Predicate disambiguation | batch_69d8a2573dbc8190ab432e8e28fde6cc |
completed | April 10, 2026, 7:10 a.m. |
| PDg | Predicate description generation | batch_69d8a43cc0c881909fed7cd759fe90b1 |
completed | April 10, 2026, 7:18 a.m. |
Created at: April 8, 2026, 9:43 p.m.