Triple
T26309509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria the Copt |
E661780
|
entity |
| Predicate | partnerRelationshipStatusWithMuhammad |
P120349
|
FINISHED |
| Object | concubine |
—
|
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: concubine | Statement: [Maria the Copt, partnerRelationshipStatusWithMuhammad, concubine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partnerRelationshipStatusWithMuhammad Context triple: [Maria the Copt, partnerRelationshipStatusWithMuhammad, concubine]
-
A.
associatedPersonRelationToMuhammad
chosen
Indicates the specific type of relationship or connection a person has to Muhammad.
-
B.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
-
C.
associatedPeopleStatus
Indicates the role, condition, or standing of people who are connected or linked to a given entity or event.
-
D.
allianceStatusRelation
Indicates the current state or condition of an alliance relationship between two or more entities.
-
E.
companionshipStatus
Indicates the current state or condition of a relationship of companionship between two or more entities.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 26, 2026, 10:21 p.m.