Triple
T1378868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaynab bint Jahsh |
E29289
|
entity |
| Predicate | marriageToMuhammadOccasion |
P27134
|
FINISHED |
| Object | after divorce from Zayd ibn Harithah |
—
|
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: after divorce from Zayd ibn Harithah | Statement: [Zaynab bint Jahsh, marriageToMuhammadOccasion, after divorce from Zayd ibn Harithah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToMuhammadOccasion Context triple: [Zaynab bint Jahsh, marriageToMuhammadOccasion, after divorce from Zayd ibn Harithah]
-
A.
startTimeOfMarriageWithKingHussein
Indicates the date and time when a person’s marriage to King Hussein began.
-
B.
marriageType
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
C.
marries
Indicates that one entity enters into a legally or socially recognized marital union with another entity.
-
D.
marriageDocumentedIn
Indicates that a marriage event is recorded or evidenced in a specific document or source.
-
E.
marriageThroughWhichTitleHeld
Indicates that a noble or formal title is held by a person specifically by virtue of (i.e., as a result of) a particular marriage.
- 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_69a498d883a48190bfdca525296ef7ee |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c3187f248190a5813274b0ef944d |
completed | March 1, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69a4befcabdc8190a9f05d002603f81c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0335f7081908d50046ced4cdee0 |
completed | March 1, 2026, 10:39 p.m. |
Created at: March 1, 2026, 7:59 p.m.