Triple
T15890693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ieng Sary |
E385309
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ieng
Ieng is the family name of Ieng Sary, a senior leader of Cambodia’s Khmer Rouge regime and its former foreign minister.
|
E1183183
|
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: Ieng | Statement: [Ieng Sary, familyName, Ieng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ieng Context triple: [Ieng Sary, familyName, Ieng]
-
A.
Samphan
Samphan is the given name of Khieu Samphan, a senior Khmer Rouge leader and former head of state of Democratic Kampuchea.
-
B.
Bru-Van Kieu
The Bru-Van Kieu are an ethnic minority group in Vietnam, known for their distinct Mon–Khmer language, upland agriculture, and rich traditional culture in the central mountainous regions.
-
C.
Bee Vang
Bee Vang is an American actor best known for his breakout role as Thao Vang Lor in Clint Eastwood’s film "Gran Torino."
-
D.
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).
-
E.
Si Sa Ket
Si Sa Ket is a major city in northeastern Thailand known as a provincial center near the Cambodian border.
- 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: Ieng Triple: [Ieng Sary, familyName, Ieng]
Generated description
Ieng is the family name of Ieng Sary, a senior leader of Cambodia’s Khmer Rouge regime and its former foreign minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ieng Target entity description: Ieng is the family name of Ieng Sary, a senior leader of Cambodia’s Khmer Rouge regime and its former foreign minister.
-
A.
Samphan
Samphan is the given name of Khieu Samphan, a senior Khmer Rouge leader and former head of state of Democratic Kampuchea.
-
B.
Bru-Van Kieu
The Bru-Van Kieu are an ethnic minority group in Vietnam, known for their distinct Mon–Khmer language, upland agriculture, and rich traditional culture in the central mountainous regions.
-
C.
Bee Vang
Bee Vang is an American actor best known for his breakout role as Thao Vang Lor in Clint Eastwood’s film "Gran Torino."
-
D.
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).
-
E.
Si Sa Ket
Si Sa Ket is a major city in northeastern Thailand known as a provincial center near the Cambodian border.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1561e5ac481908ead7de3140c769d |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb047b6248190b6c11ef20636f50f |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb1bd6e8481908701dcc7f61989f2 |
completed | May 9, 2026, 10:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb27b5840819090ae42bea2996072 |
completed | May 9, 2026, 10:17 p.m. |
Created at: April 10, 2026, 4:51 a.m.