Triple
T2330638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning Red |
E48392
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
|
E260559
|
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: Jin Lee | Statement: [Turning Red, mainCharacter, Jin Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jin Lee Context triple: [Turning Red, mainCharacter, Jin Lee]
-
A.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
B.
Ming Lee
Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
-
C.
Do Ho Suh
Do Ho Suh is a South Korean contemporary artist known for his intricate sculptures and installations that explore themes of home, memory, and personal space.
-
D.
Mason Lee
Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
-
E.
Hau Lee
Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
- 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: Jin Lee Triple: [Turning Red, mainCharacter, Jin Lee]
Generated description
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jin Lee Target entity description: Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
A.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
B.
Ming Lee
Ming Lee is the strict yet loving mother of protagonist Meilin in Pixar's animated film "Turning Red," whose own emotional struggles and family legacy drive much of the story's conflict and heart.
-
C.
Do Ho Suh
Do Ho Suh is a South Korean contemporary artist known for his intricate sculptures and installations that explore themes of home, memory, and personal space.
-
D.
Mason Lee
Mason Lee is a Taiwanese-American actor known for roles in films such as "The Hangover Part II" and for being the son of acclaimed director Ang Lee.
-
E.
Hau Lee
Hau Lee is a prominent operations and supply chain management scholar known for his influential research on global supply networks and his long-standing professorship at Stanford Graduate School of Business.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc669956881908b8d9784d6a06acf |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8786d508190aac531a88fc5076f |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aea9ca68148190a8773a80c8296a4d |
completed | March 9, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeaa32e3f48190ada5aab1b05e5aaa |
completed | March 9, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:50 p.m.