Triple
T4928078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sook Ching massacre |
E110624
|
entity |
| Predicate | codeName |
P744
|
FINISHED |
| Object |
Sook Ching
Sook Ching was a World War II mass purge and massacre carried out by the Japanese military against the Chinese population in Singapore and parts of Malaya in 1942.
|
E480911
|
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: Sook Ching | Statement: [Sook Ching massacre, codeName, Sook Ching]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sook Ching Context triple: [Sook Ching massacre, codeName, Sook Ching]
-
A.
Soo Beng Kiang
Soo Beng Kiang is a former Malaysian badminton player best known as a top men's doubles specialist in the 1990s.
-
B.
Mei-ling
Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
-
C.
Htee Khee
Htee Khee is a border town in Myanmar that serves as a key crossing and trade gateway with neighboring Thailand.
-
D.
Nai Leng
Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
-
E.
Yong Pung How
Yong Pung How was a prominent Singaporean jurist and banker who served as the country's second Chief Justice and played a key role in modernizing its judiciary.
- 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: Sook Ching Triple: [Sook Ching massacre, codeName, Sook Ching]
Generated description
Sook Ching was a World War II mass purge and massacre carried out by the Japanese military against the Chinese population in Singapore and parts of Malaya in 1942.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sook Ching Target entity description: Sook Ching was a World War II mass purge and massacre carried out by the Japanese military against the Chinese population in Singapore and parts of Malaya in 1942.
-
A.
Soo Beng Kiang
Soo Beng Kiang is a former Malaysian badminton player best known as a top men's doubles specialist in the 1990s.
-
B.
Mei-ling
Mei-ling is the given name of Soong Mei-ling, the influential 20th-century Chinese political figure and wife of Chiang Kai-shek.
-
C.
Htee Khee
Htee Khee is a border town in Myanmar that serves as a key crossing and trade gateway with neighboring Thailand.
-
D.
Nai Leng
Nai Leng is an actor known for his role in the film "Chang: A Drama of the Wilderness."
-
E.
Yong Pung How
Yong Pung How was a prominent Singaporean jurist and banker who served as the country's second Chief Justice and played a key role in modernizing its judiciary.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7036d8e88190bc4be2975160da23 |
completed | March 20, 2026, 4:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be77ac88148190a51fa2e9085d6897 |
completed | March 21, 2026, 10:49 a.m. |
| NEDg | Description generation | batch_69be7847a378819081687ec783a8b862 |
completed | March 21, 2026, 10:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be7915a26c81909b21a128daebf5b3 |
completed | March 21, 2026, 10:55 a.m. |
Created at: March 20, 2026, 1:30 p.m.