Triple
T2330647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turning Red |
E48392
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Orion Lee
Orion Lee is an actor best known for voicing the character Jin Lee, Mei's father, in Pixar's animated film "Turning Red."
|
E256029
|
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: Orion Lee | Statement: [Turning Red, voiceActor, Orion Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orion Lee Context triple: [Turning Red, voiceActor, Orion Lee]
-
A.
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.
-
B.
Gentry Lee
Gentry Lee is an American aerospace engineer and science fiction author best known for collaborating with Arthur C. Clarke on several novels, including the later books in the Rama series.
-
C.
Hancock Lee
Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
-
D.
Micah Lee
Micah Lee is a technologist, journalist, and digital security expert known for his work on encryption tools and secure communication for journalists and whistleblowers.
-
E.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
- 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: Orion Lee Triple: [Turning Red, voiceActor, Orion Lee]
Generated description
Orion Lee is an actor best known for voicing the character Jin Lee, Mei's father, in Pixar's animated film "Turning Red."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orion Lee Target entity description: Orion Lee is an actor best known for voicing the character Jin Lee, Mei's father, in Pixar's animated film "Turning Red."
-
A.
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.
-
B.
Gentry Lee
Gentry Lee is an American aerospace engineer and science fiction author best known for collaborating with Arthur C. Clarke on several novels, including the later books in the Rama series.
-
C.
Hancock Lee
Hancock Lee was a colonial Virginian planter and politician from the prominent Lee family of Virginia.
-
D.
Micah Lee
Micah Lee is a technologist, journalist, and digital security expert known for his work on encryption tools and secure communication for journalists and whistleblowers.
-
E.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
- 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_69ae8974ab8c81908ec2bddcc882cf42 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8a084b388190a6d79df8d94b236d |
completed | March 9, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8a895b6c8190bfd064742e3cc4f8 |
completed | March 9, 2026, 8:53 a.m. |
Created at: March 4, 2026, 7:50 p.m.