Triple
T1120921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saitō Makoto |
E24607
|
entity |
| Predicate | authorityControl |
P1330
|
FINISHED |
| Object | person |
—
|
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: person | Statement: [Saitō Makoto, authorityControl, person]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorityControl Context triple: [Saitō Makoto, authorityControl, person]
-
A.
hasAuthorityControl
Indicates that one entity possesses formal power, control, or decision-making authority over another entity or activity.
-
B.
authorityGranted
Indicates that one entity has formally given another entity the power, rights, or permission to act or make decisions, typically within a defined scope or context.
-
C.
authority
chosen
Indicates that one entity has the power, right, or official capacity to direct, control, or make decisions for another entity or over a particular domain.
-
D.
controlsAccessTo
Indicates that one entity regulates, manages, or determines the ability of another entity to reach, use, or interact with a resource, location, or service.
-
E.
uniformAuthority
Indicates that an authority or governing body applies rules, standards, or control consistently and uniformly across all relevant entities or situations.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4562f48190831e959f5f309956 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:43 p.m.