Triple
T23338357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Takako Shimazu |
E591661
|
entity |
| Predicate | maritalStatusChange |
P132467
|
FINISHED |
| Object | became a commoner upon marriage |
—
|
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: became a commoner upon marriage | Statement: [Princess Takako Shimazu, maritalStatusChange, became a commoner upon marriage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalStatusChange Context triple: [Princess Takako Shimazu, maritalStatusChange, became a commoner upon marriage]
-
A.
marriageStatusChange
chosen
Indicates a change in an entity’s marital status from one state to another at a particular point in time.
-
B.
membershipChangeOnMarriage
Indicates a change in an entity’s membership status in some group or organization that occurs as a direct result of a marriage event.
-
C.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
D.
hasMaritalStatusAtEnd
Indicates that an entity possesses a specific marital status at the end of a given period, event, or reference time.
-
E.
maritalStatusClaimed
Indicates that an entity has asserted or reported a particular marital status, regardless of whether it is verified or legally confirmed.
- 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_69e25d20156c81908c5c53195bd9c738 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1983099188190a2e05cf81d62a641 |
completed | April 29, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69effcfd8d288190937a887fe6023c11 |
completed | April 28, 2026, 12:19 a.m. |
Created at: April 17, 2026, 5:17 p.m.