Triple
T1778746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minervina |
E39239
|
entity |
| Predicate | marriageTypeWithConstantine |
P8399
|
FINISHED |
| Object | possibly concubinage or informal union |
—
|
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: possibly concubinage or informal union | Statement: [Minervina, marriageTypeWithConstantine, possibly concubinage or informal union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageTypeWithConstantine Context triple: [Minervina, marriageTypeWithConstantine, possibly concubinage or informal union]
-
A.
marriageType
chosen
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
B.
marriagePattern
Indicates the typical form or structure of a marriage relationship, such as how partners are selected, organized, or related within a social or cultural system.
-
C.
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.
-
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.
numberOfMarriages
Indicates the total count of times an entity has been legally married.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab74dc9d1481908084ef07872a71f8 |
completed | March 7, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69aa61cf3ca881908641fd73ce2f7c9d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:31 p.m.