Triple
T1317104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khadijah bint Khuwaylid |
E28128
|
entity |
| Predicate | ageAtMarriageToMuhammad |
P20736
|
FINISHED |
| Object | approximately 40 years |
—
|
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: approximately 40 years | Statement: [Khadijah bint Khuwaylid, ageAtMarriageToMuhammad, approximately 40 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageAtMarriageToMuhammad Context triple: [Khadijah bint Khuwaylid, ageAtMarriageToMuhammad, approximately 40 years]
-
A.
ageAtMarriage
chosen
Indicates the age a person was when they got married.
-
B.
startTimeOfMarriageWithKingHussein
Indicates the date and time when a person’s marriage to King Hussein began.
-
C.
associatedCaliph
Indicates a relationship where an entity is linked or connected to a specific caliph, typically through rule, patronage, affiliation, or historical association.
-
D.
ageAtStartOfReign
Indicates the age an individual was when they began their reign or rule.
-
E.
ageAtBirthOfChildren
Indicates the age a parent was at the time each of their children was born.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:55 p.m.