Triple
T29633690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maria Brâncoveanu |
E755651
|
entity |
| Predicate | spouseDescribedAs |
P139835
|
FINISHED |
| Object | martyr in Orthodox tradition |
—
|
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: martyr in Orthodox tradition | Statement: [Maria Brâncoveanu, spouseDescribedAs, martyr in Orthodox tradition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseDescribedAs Context triple: [Maria Brâncoveanu, spouseDescribedAs, martyr in Orthodox tradition]
-
A.
describedBySpouseAs
Indicates that one person is characterized, portrayed, or referred to in a particular way by their spouse.
-
B.
hasSpouseDescribed
Indicates that one entity is described as the spouse of another entity.
-
C.
spouseCharacterization
chosen
Indicates how one spouse describes, evaluates, or characterizes the other spouse within their relationship.
-
D.
spouseType
Indicates the specific role or category of a person within a spousal relationship (e.g., husband, wife, partner).
-
E.
spouseAssociatedWith
Indicates a marital or spousal relationship or close association between two 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_69f0ef88fbe081908f0ad90c1c413f1c |
completed | April 28, 2026, 5:34 p.m. |
| NER | Named-entity recognition | batch_69f9fd6834cc8190aa27153d6a99f3bb |
completed | May 5, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_69f7cf769338819092a5f42653dcc956 |
completed | May 3, 2026, 10:43 p.m. |
Created at: April 28, 2026, 6:42 p.m.