Triple
T186297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinzo Abe (as Minister for Foreign Affairs) |
E3986
|
entity |
| Predicate | followedByRoleInCareerOf |
P6709
|
FINISHED |
| Object | Prime Minister of Japan (Shinzo Abe) |
—
|
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: Prime Minister of Japan (Shinzo Abe) | Statement: [Shinzo Abe (as Minister for Foreign Affairs), followedByRoleInCareerOf, Prime Minister of Japan (Shinzo Abe)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followedByRoleInCareerOf Context triple: [Shinzo Abe (as Minister for Foreign Affairs), followedByRoleInCareerOf, Prime Minister of Japan (Shinzo Abe)]
-
A.
playedKeyRoleIn
Indicates that an entity had a major, influential, or decisive impact on the occurrence, outcome, or success of another entity or event.
-
B.
playedRoleIn
Indicates that an entity performed or assumed a specific role or character within a particular event, production, or context.
-
C.
workedAs
Indicates that an entity held a particular job, role, or position, performing work in that capacity.
-
D.
influencedWork
Indicates that one work has had a significant impact on the creation, style, content, or development of another work.
-
E.
playedFor
Indicates that one entity has been a member of or participated as a player for a particular team, organization, or group.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a2594809288190b3d3b1283e7e0d00 |
completed | Feb. 28, 2026, 2:56 a.m. |
| PD | Predicate disambiguation | batch_69a25670feb081908e26a2543ebe7b3a |
completed | Feb. 28, 2026, 2:44 a.m. |
| PDg | Predicate description generation | batch_69a257e763d081908c54ad57d8d3060d |
completed | Feb. 28, 2026, 2:50 a.m. |
Created at: Feb. 28, 2026, 2:40 a.m.