Triple
T12890905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl of Snowdon |
E308360
|
entity |
| Predicate | maritalConnectionToMonarchy |
P74256
|
FINISHED |
| Object | through marriage of first holder to Princess Margaret |
—
|
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: through marriage of first holder to Princess Margaret | Statement: [Earl of Snowdon, maritalConnectionToMonarchy, through marriage of first holder to Princess Margaret]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalConnectionToMonarchy Context triple: [Earl of Snowdon, maritalConnectionToMonarchy, through marriage of first holder to Princess Margaret]
-
A.
spouseOfMonarchsFamily
chosen
Indicates that one person is the spouse of a member of a monarch’s family.
-
B.
marriedToFutureMonarch
Indicates that one person is married to another person who will become a monarch in the future.
-
C.
royalAssociation
Indicates a relationship in which an entity is connected or linked to royalty, a royal person, or a royal institution.
-
D.
spouseOfHeirToThrone
Indicates that one person is the married partner of an individual who is the heir to a throne.
-
E.
spouseIsMonarchOf
Indicates that a person's spouse holds the position of monarch (ruler) of a specified country or territory.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97146d2208190be5ae26e51193b67 |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:39 p.m.