Triple
T15516373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peng-Peng Lee |
E368843
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Peng-Yen
Peng-Yen is the given name of Peng-Peng Lee, a Canadian artistic gymnast known for her NCAA career with the UCLA Bruins and international competition for Canada.
|
E1164320
|
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: Peng-Yen | Statement: [Peng-Peng Lee, givenName, Peng-Yen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peng-Yen Context triple: [Peng-Peng Lee, givenName, Peng-Yen]
-
A.
Hung-jen
Hung-jen, also known as Hongren, was a prominent 7th-century Chinese Chan (Zen) Buddhist master traditionally regarded as the Fifth Patriarch of Chan Buddhism.
-
B.
Hsiao-wen
Hsiao-wen is the given name of Chiang Hsiao-wen, a member of the Chiang family associated with modern Chinese political history.
-
C.
Kar-ying
Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
-
D.
Hsiao-chang
Hsiao-chang is a member of the Chiang family, a prominent political dynasty in modern Chinese and Taiwanese history.
-
E.
Chih-chung
Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
- 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: Peng-Yen Triple: [Peng-Peng Lee, givenName, Peng-Yen]
Generated description
Peng-Yen is the given name of Peng-Peng Lee, a Canadian artistic gymnast known for her NCAA career with the UCLA Bruins and international competition for Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peng-Yen Target entity description: Peng-Yen is the given name of Peng-Peng Lee, a Canadian artistic gymnast known for her NCAA career with the UCLA Bruins and international competition for Canada.
-
A.
Hung-jen
Hung-jen, also known as Hongren, was a prominent 7th-century Chinese Chan (Zen) Buddhist master traditionally regarded as the Fifth Patriarch of Chan Buddhism.
-
B.
Hsiao-wen
Hsiao-wen is the given name of Chiang Hsiao-wen, a member of the Chiang family associated with modern Chinese political history.
-
C.
Kar-ying
Kar-ying is the given name of Law Kar-ying, a veteran Hong Kong actor and Cantonese opera performer known for his roles in film and television.
-
D.
Hsiao-chang
Hsiao-chang is a member of the Chiang family, a prominent political dynasty in modern Chinese and Taiwanese history.
-
E.
Chih-chung
Chih-chung is an alternative romanization of the Chinese given name Zhizhong, used in older or non–pinyin transcription systems.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04033303c8190a87b6384f68a6921 |
completed | April 16, 2026, 1:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c3618dc8190aab243bb61d198ce |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4e000eb481909f1ddf7b24130c7a |
completed | May 9, 2026, 3:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4e57445c8190969327311c73b2e6 |
completed | May 9, 2026, 3:10 p.m. |
Created at: April 10, 2026, 4:02 a.m.