Triple
T21275158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Imperial Princess of Brazil |
E524368
|
entity |
| Predicate | familyRelationToMonarch |
P40701
|
FINISHED |
| Object | daughter |
—
|
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: daughter | Statement: [Imperial Princess of Brazil, familyRelationToMonarch, daughter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: familyRelationToMonarch Context triple: [Imperial Princess of Brazil, familyRelationToMonarch, daughter]
-
A.
childOfMonarch
chosen
Indicates that one entity is the offspring (biological or legally recognized) of another entity who holds or held the status of monarch.
-
B.
royalAssociation
Indicates a relationship in which an entity is connected or linked to royalty, a royal person, or a royal institution.
-
C.
siblingOfMonarch
Indicates that one person is a sibling (brother or sister) of a reigning or former monarch.
-
D.
constitutionalMonarchRelation
Indicates that one entity serves as a constitutional monarch in relation to another entity, over which they act as a ceremonial head of state within a constitutional framework.
-
E.
familyRelationToEmperor
Indicates that one entity is related to an emperor by family ties, specifying a kinship or familial connection between them.
- 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_69e0b516293c819089458ea2ec85f85e |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7365627a081908caea09097cca354 |
completed | April 21, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4:01 p.m.