Triple
T31467521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm Ḥabība |
E802755
|
entity |
| Predicate | stepDaughterOf |
P11545
|
FINISHED |
| Object | ʿAbd al-Muṭṭalib family by marriage |
—
|
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: ʿAbd al-Muṭṭalib family by marriage | Statement: [Umm Ḥabība, stepDaughterOf, ʿAbd al-Muṭṭalib family by marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stepDaughterOf Context triple: [Umm Ḥabība, stepDaughterOf, ʿAbd al-Muṭṭalib family by marriage]
-
A.
stepParent
Indicates a parental relationship where an individual is the spouse or partner of a child's biological or adoptive parent but is not themselves a biological or adoptive parent of that child.
-
B.
consideredDaughterOf
Indicates that one entity is regarded or treated as the daughter of another entity, whether by biology, law, or social recognition.
-
C.
stepChild
chosen
Indicates a parent–child relationship where the child is related to a parent’s spouse but is not the biological or adopted child of that spouse.
-
D.
stepSonInLawOf
Indicates a relationship where one person is the husband of another person's stepchild.
-
E.
daughterOf
Indicates that one person is the female child (daughter) of another person.
- 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_69f348c84c1c81908739f100ecf7394e |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:24 p.m.