Triple
T6853563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tô Lâm |
E158081
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tô Lâm |
E158081
|
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: Tô Lâm | Statement: [Tô Lâm, name, Tô Lâm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tô Lâm Context triple: [Tô Lâm, name, Tô Lâm]
-
A.
Tô Lâm
chosen
Tô Lâm is a Vietnamese politician and former Minister of Public Security who serves as the current President of Vietnam.
-
B.
Tran Huy Lieu
Tran Huy Lieu was a Vietnamese revolutionary, historian, and politician who played a significant role in the struggle for independence and the early years of the Democratic Republic of Vietnam.
-
C.
Duong Van Minh
Duong Van Minh was a South Vietnamese general and the last president of South Vietnam, known for surrendering to North Vietnamese forces during the Fall of Saigon in 1975.
-
D.
Tran Thien Khiem
Tran Thien Khiem was a South Vietnamese general and politician who served as Prime Minister of South Vietnam during the Vietnam War era.
-
E.
Ngo Thanh Van
Ngo Thanh Van is a Vietnamese actress, model, and film producer best known internationally for her roles in action films such as "The Rebel" and "Star Wars: The Last Jedi."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d851321481908c49c2c949359703 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c758371abc81908908b1ab8538f54e |
completed | March 28, 2026, 4:25 a.m. |
Created at: March 27, 2026, 2:20 p.m.