Triple
T23399746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JC virus |
E559470
|
entity |
| Predicate | discoveredBy |
P412
|
FINISHED |
| Object |
Chou
Chou is a researcher best known for first identifying and characterizing the JC virus, a human polyomavirus associated with progressive multifocal leukoencephalopathy.
|
E1583708
|
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: Chou | Statement: [JC virus, discoveredBy, Chou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chou Context triple: [JC virus, discoveredBy, Chou]
-
A.
Chou
Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
-
B.
Chou
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
-
C.
Chou
Chou is an alternative romanization of the Chinese surname and dynasty name commonly spelled "Zhou" in pinyin.
-
D.
Santchou
Santchou is a municipality in the Ménoua department of Cameroon, known for its agricultural activities and location in the West Region.
-
E.
Chao-chou
Chao-chou is an older romanized form of the name for Chaozhou, a historic city in eastern Guangdong Province, China, known for its distinctive Teochew culture and cuisine.
- 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: Chou Triple: [JC virus, discoveredBy, Chou]
Generated description
Chou is a researcher best known for first identifying and characterizing the JC virus, a human polyomavirus associated with progressive multifocal leukoencephalopathy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chou Target entity description: Chou is a researcher best known for first identifying and characterizing the JC virus, a human polyomavirus associated with progressive multifocal leukoencephalopathy.
-
A.
Chou
Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
-
B.
Chou
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
-
C.
Chou
Chou is an alternative romanization of the Chinese surname and dynasty name commonly spelled "Zhou" in pinyin.
-
D.
Santchou
Santchou is a municipality in the Ménoua department of Cameroon, known for its agricultural activities and location in the West Region.
-
E.
Chao-chou
Chao-chou is an older romanized form of the name for Chaozhou, a historic city in eastern Guangdong Province, China, known for its distinctive Teochew culture and cuisine.
- 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_69e24549610c8190a069d6411ce5f661 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1a4dedfcc8190ab93cec3c3d15c53 |
completed | April 29, 2026, 6:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5df194bc819084aa4de85966c68f |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c5f52fe308190b87c53f9a9d915e0 |
completed | May 19, 2026, 1:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5ffbea40819088a5a01a3763c718 |
completed | May 19, 2026, 1:05 p.m. |
Created at: April 17, 2026, 5:37 p.m.