Triple
T5376385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trần Văn Trà |
E108969
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Văn Trà |
E108969
|
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: Văn Trà | Statement: [Trần Văn Trà, givenName, Văn Trà]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Văn Trà Context triple: [Trần Văn Trà, givenName, Văn Trà]
-
A.
Trần Văn Trà
chosen
Trần Văn Trà was a senior North Vietnamese general and military strategist who played a key leadership role in major campaigns during the Vietnam War.
-
B.
Trinh Tran
Trinh Tran is a Marvel Studios producer known for overseeing major Marvel Cinematic Universe projects, including the Disney+ series "Hawkeye."
-
C.
Trần Văn Hương
Trần Văn Hương was a South Vietnamese politician who briefly served as president of South Vietnam during the final months of the Vietnam War.
-
D.
Dang Bich Ha
Dang Bich Ha is best known as the wife of Vietnamese General Vo Nguyen Giap, a prominent military leader in Vietnam’s 20th-century history.
-
E.
Nguyễn Thị Mai Anh
Nguyễn Thị Mai Anh was the First Lady of South Vietnam during the presidency of her husband Nguyễn Văn Thiệu and was known for her charitable and social work.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd86b08bf881909fa2e42c977d807a |
completed | March 20, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf293f6458819091c32080782b56ed |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:03 p.m.