Triple
T22133325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Over the Moon |
E546961
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Peilin Chou
Peilin Chou is a film producer best known for her work in animated features, including major projects at studios like Netflix and DreamWorks.
|
E1519843
|
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: Peilin Chou | Statement: [Over the Moon, producer, Peilin Chou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peilin Chou Context triple: [Over the Moon, producer, Peilin Chou]
-
A.
Peng-Peng Lee
Peng-Peng Lee is a Canadian artistic gymnast and Olympic team member best known for her standout collegiate career with the UCLA Bruins, where she became a fan favorite for her exceptional beam and bars routines.
-
B.
Yu Fang-chi
Yu Fang-chi is a Taiwanese public figure best known as the wife of politician and former Kaohsiung mayor Frank Hsieh.
-
C.
Fala Chen
Fala Chen is a Chinese-American actress known for her work in both Asian television dramas and Hollywood films, including roles in major franchises.
-
D.
Chien Yu-hsiu
Chien Yu-hsiu is a Taiwanese badminton player known for competing in international men’s and mixed doubles events.
-
E.
Teng Yu-hua
Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
- 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: Peilin Chou Triple: [Over the Moon, producer, Peilin Chou]
Generated description
Peilin Chou is a film producer best known for her work in animated features, including major projects at studios like Netflix and DreamWorks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peilin Chou Target entity description: Peilin Chou is a film producer best known for her work in animated features, including major projects at studios like Netflix and DreamWorks.
-
A.
Peng-Peng Lee
Peng-Peng Lee is a Canadian artistic gymnast and Olympic team member best known for her standout collegiate career with the UCLA Bruins, where she became a fan favorite for her exceptional beam and bars routines.
-
B.
Yu Fang-chi
Yu Fang-chi is a Taiwanese public figure best known as the wife of politician and former Kaohsiung mayor Frank Hsieh.
-
C.
Fala Chen
Fala Chen is a Chinese-American actress known for her work in both Asian television dramas and Hollywood films, including roles in major franchises.
-
D.
Chien Yu-hsiu
Chien Yu-hsiu is a Taiwanese badminton player known for competing in international men’s and mixed doubles events.
-
E.
Teng Yu-hua
Teng Yu-hua is a person notable for bearing the Chinese surname Teng.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b81d5c819085fd18bf3ae28333 |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a8f2bd49c81908a75359074a0ada2 |
completed | May 18, 2026, 4:01 a.m. |
| NEDg | Description generation | batch_6a0a91ef8d188190a6ec20d6c43aef91 |
completed | May 18, 2026, 4:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a9266624c81908eb06a0fc02b85d4 |
completed | May 18, 2026, 4:15 a.m. |
Created at: April 16, 2026, 8:32 p.m.