Triple
T23485588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trương Đình Dzu |
E570524
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Trương |
E1010888
|
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: Trương | Statement: [Trương Đình Dzu, familyName, Trương]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trương Context triple: [Trương Đình Dzu, familyName, Trương]
-
A.
Trương Đình Dzu
Trương Đình Dzu was a South Vietnamese lawyer and politician known for his outspoken advocacy of peace negotiations during the Vietnam War and his controversial candidacy in the 1967 presidential election.
-
B.
Trương Phụ
Trương Phụ was a prominent Ming dynasty general who led Chinese forces in the early 15th-century conquest and occupation of Đại Việt (Vietnam).
-
C.
Truong
chosen
Truong is a Vietnamese surname borne by various notable individuals, including writer Monique Truong.
-
D.
Tran
Tran is a personal name, commonly used as both a given name and surname in various cultures, particularly in East and Southeast Asia.
-
E.
Trương Định Ward
Trương Định Ward is an urban administrative ward located within Hai Bà Trưng District in central Hanoi, Vietnam.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a7538a8c8190b7effcc39a3f9787 |
completed | April 29, 2026, 6:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c826a3c088190ae29a5c3224052fd |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 6:03 p.m.