Triple
T21357770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Saxe-Coburg and Gotha |
E526680
|
entity |
| Predicate | hasMaritalUsage |
P124855
|
FINISHED |
| Object | borne by daughters of the duke |
—
|
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: borne by daughters of the duke | Statement: [Princess of Saxe-Coburg and Gotha, hasMaritalUsage, borne by daughters of the duke]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMaritalUsage Context triple: [Princess of Saxe-Coburg and Gotha, hasMaritalUsage, borne by daughters of the duke]
-
A.
usedMarriageFor
Indicates that one party employed marriage as a means or tool to achieve some goal, benefit, or ulterior purpose involving another party.
-
B.
hasMaritalFunction
chosen
Indicates that one entity serves a role or performs a function within the context of a marital relationship or institution.
-
C.
hasMaritalRelationshipType
Indicates the specific type or nature of the marital relationship that exists between two entities.
-
D.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
E.
hasMarriage
Indicates a marital relationship exists between the two entities, specifying that they are or were legally married to each other.
- 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa2d11c81908608851940e4e6d3 |
completed | April 22, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:07 p.m.