Triple
T35453315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown Princess of Prussia |
E1024697
|
entity |
| Predicate | titleStatusAfterWidowhood |
P40284
|
FINISHED |
| Object | could become Dowager Crown Princess of Prussia |
—
|
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: could become Dowager Crown Princess of Prussia | Statement: [Crown Princess of Prussia, titleStatusAfterWidowhood, could become Dowager Crown Princess of Prussia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleStatusAfterWidowhood Context triple: [Crown Princess of Prussia, titleStatusAfterWidowhood, could become Dowager Crown Princess of Prussia]
-
A.
spouseStatusAfterDeath
Indicates the marital status or spousal relationship of a person after the death of their spouse.
-
B.
styleAfterHusbandDeath
chosen
Indicates that an entity adopts or changes its style in response to, or following, the death of its husband.
-
C.
titleAfterDivorce
Indicates the formal title or style a person holds or uses following a divorce.
-
D.
firstWifeStatus
Indicates the marital status or condition of a man's first wife in relation to him.
-
E.
legalStatusOfTitleAfterDeath
Indicates the legal condition or standing of ownership rights to a title after the death of the person who previously held it.
- 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_69f76df92f108190817222e520e22268 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff795d25d08190b7584c72be39d309 |
completed | May 9, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69ff78a90fbc8190a62c57456dc1d4ad |
completed | May 9, 2026, 6:10 p.m. |
Created at: May 3, 2026, 4:04 p.m.