Triple
T23292902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Võ Văn Hoàn |
E590081
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hoàn |
—
|
NE NERFINISHED |
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: Hoàn | Statement: [Võ Văn Hoàn, familyName, Hoàn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoàn Context triple: [Võ Văn Hoàn, familyName, Hoàn]
-
A.
Hoan
chosen
Hoan is a surname most notably associated with Daniel Hoan, a long-serving Socialist mayor of Milwaukee in the early 20th century.
-
B.
Hoai Nhon
Hoai Nhon is a coastal town in south-central Vietnam known for its fishing industry, beaches, and role as a local economic and transportation hub.
-
C.
Đông Hà
Đông Hà is a city in central Vietnam that served as a strategic military and logistical hub during the Vietnam War, located close to the former Vietnamese Demilitarized Zone.
-
D.
Hoang
Hoang is a Vietnamese given name and surname, often romanized from the Chinese surname Huang and widely used in Vietnam and among the Vietnamese diaspora.
-
E.
Ho Khanh
Ho Khanh is a Vietnamese logger-turned-explorer best known for discovering Sơn Đoòng Cave, the largest known cave in the world.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196ccd9b481909ab5d3504640025e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:02 p.m.