Triple
T32448422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fan Ju |
E829208
|
entity |
| Predicate | roleInQin |
P201859
|
FINISHED |
| Object | central policymaker in foreign affairs |
—
|
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: central policymaker in foreign affairs | Statement: [Fan Ju, roleInQin, central policymaker in foreign affairs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInQin Context triple: [Fan Ju, roleInQin, central policymaker in foreign affairs]
-
A.
roleInOperation
Indicates that an entity holds a specific function, duty, or position within a particular operation or activity.
-
B.
roleInChina
Indicates that one entity holds or performs a specific role, position, or function within the context of China.
-
C.
roleInIntegration
Indicates the specific function or responsibility an entity has within a combined or coordinated system, process, or integration.
-
D.
roleInShu
Indicates that an entity holds or plays a specific role within the context of Shu (e.g., the state, domain, or system referred to as Shu).
-
E.
roleOn
Indicates that an entity holds or performs a specific role or function within another entity, context, or activity.
- 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_69f3491d2e5c819092b1c9535beff8ec |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a002ae74da08190a4b47e0ff0f7f8fe |
completed | May 10, 2026, 6:51 a.m. |
| PD | Predicate disambiguation | batch_6a0029cc369c81909578e52c4a75ab18 |
completed | May 10, 2026, 6:46 a.m. |
| PDg | Predicate description generation | batch_6a002ae65e0c81909a5989dd73f027f5 |
completed | May 10, 2026, 6:51 a.m. |
Created at: May 1, 2026, 12:56 a.m.