Triple
T2319054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne of Great Britain |
E51133
|
entity |
| Predicate | survivingChildrenToAdulthood |
P15463
|
FINISHED |
| Object | 0 |
—
|
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: 0 | Statement: [Anne of Great Britain, survivingChildrenToAdulthood, 0]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: survivingChildrenToAdulthood Context triple: [Anne of Great Britain, survivingChildrenToAdulthood, 0]
-
A.
childrenSurvivedToAdulthood
chosen
Indicates that the referenced children lived beyond childhood and reached adulthood.
-
B.
survivingFrom
Indicates that one entity continues to live, exist, or remain after another related entity has ended, disappeared, or ceased to exist.
-
C.
onlySurvivingChildOf
Indicates that one person is the sole remaining living child of another person, with no other surviving siblings.
-
D.
survivesAs
Indicates that one entity continues to exist or persist in place of, or after the end or transformation of, another entity.
-
E.
survivesIn
Indicates that an entity remains alive, functional, or intact within a specified environment, condition, or context.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc5909cc48190aab257313542dc49 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.