Triple
T780584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Anne Stuart |
E16486
|
entity |
| Predicate | motherTitle |
P19833
|
FINISHED |
| Object | Queen consort of England |
—
|
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: Queen consort of England | Statement: [Princess Anne Stuart, motherTitle, Queen consort of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherTitle Context triple: [Princess Anne Stuart, motherTitle, Queen consort of England]
-
A.
motherName
Indicates that the predicate specifies the personal name of an entity’s mother.
-
B.
motherFrom
Indicates that one entity is the mother (biological or adoptive) of another entity, specifying a maternal parent-child relationship from the mother to the child.
-
C.
matriarch
Indicates that one entity holds the role or status of a female head or leading maternal figure in relation to another entity or group.
-
D.
motherEmpire
Indicates a relationship where one empire is the originating or parent empire from which another empire derives or depends.
-
E.
motherOccupation
Indicates the type of job or profession that a person's mother has.
- F. None of above. chosen
Provenance (4 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_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a8f09d108190b8c83a6169d65c0c |
completed | March 1, 2026, 9 p.m. |
Created at: March 1, 2026, 7:37 p.m.