Triple
T10897520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meilin "Mei" Lee |
E257349
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Meilin
Meilin is the 13-year-old Chinese-Canadian protagonist of Pixar's animated film "Turning Red," who transforms into a giant red panda whenever her emotions run high.
|
E892932
|
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: Meilin | Statement: [Meilin "Mei" Lee, givenName, Meilin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meilin Context triple: [Meilin "Mei" Lee, givenName, Meilin]
-
A.
Mingze
Mingze is the given name of Xi Jinping’s daughter, Xi Mingze, who is known for maintaining a very private life despite her father’s prominent political role in China.
-
B.
Jinyu
Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
-
C.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
D.
Jiyun
Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
-
E.
Juyi
Juyi is the given name of Bai Juyi, a renowned Tang dynasty Chinese poet celebrated for his accessible style and social commentary.
- 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: Meilin Triple: [Meilin "Mei" Lee, givenName, Meilin]
Generated description
Meilin is the 13-year-old Chinese-Canadian protagonist of Pixar's animated film "Turning Red," who transforms into a giant red panda whenever her emotions run high.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Meilin Target entity description: Meilin is the 13-year-old Chinese-Canadian protagonist of Pixar's animated film "Turning Red," who transforms into a giant red panda whenever her emotions run high.
-
A.
Mingze
Mingze is the given name of Xi Jinping’s daughter, Xi Mingze, who is known for maintaining a very private life despite her father’s prominent political role in China.
-
B.
Jinyu
Jinyu is a major variety of the Jin group of Chinese dialects spoken primarily in northern China, especially in Shanxi and surrounding regions.
-
C.
Heqing
Heqing was an era name used during the Northern Qi dynasty in imperial China to designate a specific reign period.
-
D.
Jiyun
Jiyun is an 11th-century Chinese rime dictionary that systematically records and organizes the phonology and characters of Middle Chinese.
-
E.
Juyi
Juyi is the given name of Bai Juyi, a renowned Tang dynasty Chinese poet celebrated for his accessible style and social commentary.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75d02e4c88190b8286078e90bf913 |
completed | April 9, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e15524ec5c8190a330ce5fc16dd11d |
completed | April 16, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69e17d3331788190a9ee03fc4c6ca191 |
completed | April 17, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e1ff5b3d488190a545bee24381d01e |
completed | April 17, 2026, 9:37 a.m. |
Created at: April 8, 2026, 9:21 p.m.