Triple
T6095876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duong Van Minh |
E135874
|
entity |
| Predicate | roleIn1963Coup |
P50317
|
FINISHED |
| Object | leading general in the coup against Ngo Dinh Diem |
—
|
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: leading general in the coup against Ngo Dinh Diem | Statement: [Duong Van Minh, roleIn1963Coup, leading general in the coup against Ngo Dinh Diem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleIn1963Coup Context triple: [Duong Van Minh, roleIn1963Coup, leading general in the coup against Ngo Dinh Diem]
-
A.
coupParticipantIn
Indicates that an entity took part in, contributed to, or was involved in carrying out a specific coup event.
-
B.
coupLeader
chosen
Indicates that the subject is the primary organizer or head figure responsible for leading a coup against an existing authority.
-
C.
roleInMutiny
Indicates that one entity participated in a mutiny with a specific role or capacity in that rebellious action.
-
D.
attemptedCoup
Indicates that an entity tried, but did not necessarily succeed, to overthrow an existing government or leadership through a coup.
-
E.
roleBeforeQuietRevolution
Indicates that an entity held a particular role or status prior to the Quiet Revolution period.
- 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_69c0087cd3c48190b459848c72d84eb1 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05a9764048190ad4e9a02f9a25ab6 |
completed | March 22, 2026, 9:09 p.m. |
| PD | Predicate disambiguation | batch_69c049f5ac988190b62ba565153aaa35 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.