Triple
T14243986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crown Princess of Japan |
E353083
|
entity |
| Predicate | positionInSuccessionContext |
P88626
|
FINISHED |
| Object | consort of the heir apparent |
—
|
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: consort of the heir apparent | Statement: [Crown Princess of Japan, positionInSuccessionContext, consort of the heir apparent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInSuccessionContext Context triple: [Crown Princess of Japan, positionInSuccessionContext, consort of the heir apparent]
-
A.
successionOrder
Indicates the ordered sequence in which entities are designated to succeed or take over a role, position, or title.
-
B.
successionRole
Indicates a role or position that one entity assumes as the successor to another in a sequence of holders or office-bearers.
-
C.
successorPowerContext
Indicates that one entity holds or exercises power or authority as a successor within a particular contextual or situational framework.
-
D.
typeOfSuccessionContext
chosen
Indicates the specific situational or legal framework within which a succession or transfer of authority, rights, or ownership takes place.
-
E.
successorContext
Indicates that one context directly follows and continues from another in a sequence or process.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:08 a.m.