Triple
T13145977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tran Anh Hung |
E312334
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Anh Hung |
E312334
|
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: Anh Hung | Statement: [Tran Anh Hung, givenName, Anh Hung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anh Hung Context triple: [Tran Anh Hung, givenName, Anh Hung]
-
A.
Ngo Kien Huy
Ngo Kien Huy is a Vietnamese pop singer, actor, and television host known for his energetic performances and appearances in popular entertainment shows.
-
B.
Quang Yen
Quang Yen is a coastal town in northeastern Vietnam known for its location within Quang Ninh Province and its proximity to Ha Long Bay.
-
C.
Tran Anh Hung
chosen
Tran Anh Hung is a Vietnamese-French film director acclaimed for his visually poetic, contemplative dramas such as "The Scent of Green Papaya" and "Cyclo."
-
D.
Pham Hung
Pham Hung was a Vietnamese communist revolutionary and politician who served as Prime Minister of Vietnam in the late 1980s.
-
E.
Huy Lieu
Huy Lieu is the given name of Tran Huy Lieu, a notable Vietnamese historian, writer, and revolutionary figure.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bcf6d0c819081d078f33e4bdedc |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d809948190aced5ce377402463 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:10 p.m.