Triple
T25557514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dainagon |
E640612
|
entity |
| Predicate | typeOfAdviser |
P178562
|
FINISHED |
| Object | political counsellor |
—
|
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: political counsellor | Statement: [Dainagon, typeOfAdviser, political counsellor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfAdviser Context triple: [Dainagon, typeOfAdviser, political counsellor]
-
A.
advisorOf
Indicates that one entity serves as an advisor, providing guidance or counsel, to another entity.
-
B.
typeOfJurist
Indicates that one entity is a specific kind or category of jurist in relation to another entity.
-
C.
typeOfAnalyst
Indicates that one entity serves as a specific kind or category of analyst in relation to another entity.
-
D.
investmentAdvisor
Indicates that one entity provides professional guidance or management services to another regarding financial investments.
-
E.
organizationTypeAdvised
Indicates that one entity has provided advice or consultancy regarding the type or classification of an organization associated with another entity.
- 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_69e75dc101a881909fd33b02174e9768 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f7117cf2188190b29e36fc1e342c60 |
completed | May 3, 2026, 9:12 a.m. |
Created at: April 21, 2026, 3:40 p.m.