Triple
T783563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Saxe-Coburg and Gotha |
E16551
|
entity |
| Predicate | hasMatrilinealConnectionsTo |
P7844
|
FINISHED |
| Object | many European royal families |
—
|
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: many European royal families | Statement: [House of Saxe-Coburg and Gotha, hasMatrilinealConnectionsTo, many European royal families]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatrilinealConnectionsTo Context triple: [House of Saxe-Coburg and Gotha, hasMatrilinealConnectionsTo, many European royal families]
-
A.
hasFamilialTieTo
chosen
Indicates a relationship where two entities are connected by family bonds, such as by blood, marriage, or adoption.
-
B.
connectedThroughMarriageVia
Indicates that two entities are related to each other by a marital connection that is mediated through one or more intermediate spouses or in-laws, rather than by a direct marriage between them.
-
C.
isNephewOf
Indicates that one person is the male child of another person's sibling.
-
D.
hasLastNameInCommonWith
Indicates that two entities share the same last name.
-
E.
associatedHeir
Indicates that one entity is designated or recognized as the heir connected to, or inheriting from, another entity.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7686d0881908c2a4395059be02c |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50db97c8190a1c55673f4a357b4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.