Triple
T28632829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Aiko |
E724690
|
entity |
| Predicate | monarchIs |
P166886
|
FINISHED |
| Object | Emperor Naruhito |
—
|
NE NERFINISHED |
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: Emperor Naruhito | Statement: [Princess Aiko, monarchIs, Emperor Naruhito]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: monarchIs Context triple: [Princess Aiko, monarchIs, Emperor Naruhito]
-
A.
monarchIn
Indicates that a person serves as the ruling monarch of a specified country, state, or territory.
-
B.
monarch
Indicates that an entity serves as the sovereign ruler (such as a king, queen, or emperor) over a state or territory.
-
C.
monarchType
Indicates the specific kind or category of monarchy or monarch associated with an entity.
-
D.
monarchAssociatedWith
Indicates a relationship where a monarch has a notable connection or affiliation with another entity, such as a person, place, institution, or event.
-
E.
monarchRepresentedBy
Indicates that a monarch is formally represented or acted on behalf of by another person or entity in official or ceremonial capacities.
- F. None of above. chosen
Provenance (4 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_69f01d8328c48190bc0e5f9b9b848582 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 4:38 a.m.