Triple
T1615647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nguyen Van Thieu |
E34711
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Thieu |
E34711
|
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: Thieu | Statement: [Nguyen Van Thieu, familyName, Thieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thieu Context triple: [Nguyen Van Thieu, familyName, Thieu]
-
A.
Thieu
chosen
Thieu is the family name of Nguyen Van Thieu, the South Vietnamese general and president during the Vietnam War.
-
B.
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).
-
C.
Ma Su
Ma Su was a Chinese military general and strategist of the Shu Han state during the Three Kingdoms period, known for his ill-fated command at the Battle of Jieting.
-
D.
Pak Yong
Pak Yong is a stock male character in the traditional Malay dance-drama Mak Yong, often portrayed as a comic or supporting figure.
-
E.
Nam Ou
Nam Ou is a significant river in northern Laos known for its scenic valleys, hydropower dams, and role in regional transport and livelihoods.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9099049e0819099763ecb09fb4f57 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51cd2e54819086924378792eb2e3 |
completed | March 8, 2026, 10:39 a.m. |
Created at: March 4, 2026, 7:28 p.m.