Triple
T10198650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hmong-Mien |
E238827
|
entity |
| Predicate | includesLanguage |
P2177
|
FINISHED |
| Object |
Kim Mun
Kim Mun is a Hmong-Mien language spoken by the Kim Mun (a subgroup of the Yao/Mien) people in parts of southern China and Southeast Asia.
|
E848450
|
NE FINISHED |
How this triple was built (4 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: Kim Mun | Statement: [Hmong-Mien, includesLanguage, Kim Mun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Mun Context triple: [Hmong-Mien, includesLanguage, Kim Mun]
-
A.
Kim Jung-soo
Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
-
B.
Jang Kum-song
Jang Kum-song was the daughter of senior North Korean official Kim Kyong-hui and thus a member of North Korea’s ruling Kim family.
-
C.
Kim Cheol-ho
Kim Cheol-ho was a South Korean industrialist and entrepreneur best known as the founder of the automotive company Kia Motors.
-
D.
Kim Yong-rae
Kim Yong-rae is a South Korean politician who served as the mayor of Seoul during the period when the city hosted the 1988 Summer Olympics.
-
E.
Paik Nam-june
Paik Nam-june was a pioneering Korean American artist widely regarded as the founder of video art and a key figure in the development of media and technology-based art.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kim Mun Triple: [Hmong-Mien, includesLanguage, Kim Mun]
Generated description
Kim Mun is a Hmong-Mien language spoken by the Kim Mun (a subgroup of the Yao/Mien) people in parts of southern China and Southeast Asia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Mun Target entity description: Kim Mun is a Hmong-Mien language spoken by the Kim Mun (a subgroup of the Yao/Mien) people in parts of southern China and Southeast Asia.
-
A.
Kim Jung-soo
Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
-
B.
Jang Kum-song
Jang Kum-song was the daughter of senior North Korean official Kim Kyong-hui and thus a member of North Korea’s ruling Kim family.
-
C.
Kim Cheol-ho
Kim Cheol-ho was a South Korean industrialist and entrepreneur best known as the founder of the automotive company Kia Motors.
-
D.
Kim Yong-rae
Kim Yong-rae is a South Korean politician who served as the mayor of Seoul during the period when the city hosted the 1988 Summer Olympics.
-
E.
Paik Nam-june
Paik Nam-june was a pioneering Korean American artist widely regarded as the founder of video art and a key figure in the development of media and technology-based art.
- F. None of above. chosen
Provenance (5 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3dfa108190b2888385ef96de23 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d35512ab2c8190b2802c7bb22e7323 |
completed | April 6, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69d35916791081908dfcd1b217390225 |
completed | April 6, 2026, 6:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d3597cdf188190853d7385f22e8b26 |
completed | April 6, 2026, 6:58 a.m. |
Created at: March 30, 2026, 9:14 p.m.