Triple
T4787166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoàng Xuân Lãm |
E106506
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hoàng |
E209935
|
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: Hoàng | Statement: [Hoàng Xuân Lãm, familyName, Hoàng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoàng Context triple: [Hoàng Xuân Lãm, familyName, Hoàng]
-
A.
Huang
chosen
Huang is a common Chinese surname borne by many notable individuals across business, politics, science, and the arts.
-
B.
Xuan Dieu
Xuan Dieu is a popular street and neighborhood in Hanoi’s Tay Ho District, known for its lakeside views, expatriate community, and vibrant mix of cafes, restaurants, and shops.
-
C.
Huy
Huy is a historic city in the Walloon region of Belgium, known for its medieval architecture and strategic location along the Meuse River.
-
D.
An Lộc
An Lộc is a town in southern Vietnam that became a major battlefield during the 1972 Easter Offensive in the Vietnam War.
-
E.
Kao Kim Hourn
Kao Kim Hourn is a Cambodian diplomat and academic who serves as the Secretary-General of the Association of Southeast Asian Nations (ASEAN).
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65d8f9d881909c24340b8dc6a104 |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be43e01f6c81909ca0121c36d107e9 |
completed | March 21, 2026, 7:08 a.m. |
Created at: March 20, 2026, 1:22 p.m.