Triple
T32086354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | María Teresa de Vallabriga |
E819456
|
entity |
| Predicate | styleOfMarriage |
P8399
|
FINISHED |
| Object | morganatic 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: morganatic marriage | Statement: [María Teresa de Vallabriga, styleOfMarriage, morganatic marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: styleOfMarriage Context triple: [María Teresa de Vallabriga, styleOfMarriage, morganatic marriage]
-
A.
maritalStyleOf
Indicates the characteristic manner, pattern, or quality of interaction that defines a particular marriage or marital relationship.
-
B.
marriageType
chosen
Indicates the specific legal or social category of a marriage relationship that exists between two spouses.
-
C.
styleBeforeMarriage
Indicates that the referenced style or appearance pertains to an individual’s state prior to their marriage.
-
D.
marriageCustom
Indicates a culturally recognized set of practices, rules, or traditions that govern how marriages are formed, conducted, or maintained between individuals or groups.
-
E.
weddingStatus
Indicates the current state or condition of an entity’s marriage or wedding (e.g., single, engaged, married, divorced).
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:24 a.m.