Triple
T26182604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vo Van Kiet |
E654726
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object |
Đỗ Mười as Prime Minister of Vietnam
Đỗ Mười as Prime Minister of Vietnam refers to his tenure as the country’s head of government during the late 1980s and early 1990s, a period marked by the continuation and consolidation of the Đổi Mới economic reforms.
|
E1709883
|
NE 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: Đỗ Mười as Prime Minister of Vietnam | Statement: [Vo Van Kiet, precededBy, Đỗ Mười as Prime Minister of Vietnam]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Đỗ Mười as Prime Minister of Vietnam Triple: [Vo Van Kiet, precededBy, Đỗ Mười as Prime Minister of Vietnam]
Generated description
Đỗ Mười as Prime Minister of Vietnam refers to his tenure as the country’s head of government during the late 1980s and early 1990s, a period marked by the continuation and consolidation of the Đổi Mới economic reforms.
Provenance (5 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c71dfb48190a3f0ab63ecadbdfa |
completed | May 2, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a112781e3d88190aef9a8e1b5f741dc |
completed | May 23, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_6a112a8d26d081909692e0fdeb070f87 |
completed | May 23, 2026, 4:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a112af6fa808190821831dd3ef24648 |
completed | May 23, 2026, 4:20 a.m. |
Created at: April 26, 2026, 8:40 p.m.