Triple
T6730987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teenage Mutant Ninja Turtles (2012 TV series) |
E153631
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Hoon Lee
Hoon Lee is an American actor and voice actor known for roles in series like Banshee and for voicing characters in animated shows and video games.
|
E615997
|
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: Hoon Lee | Statement: [Teenage Mutant Ninja Turtles (2012 TV series), voiceActor, Hoon Lee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoon Lee Context triple: [Teenage Mutant Ninja Turtles (2012 TV series), voiceActor, Hoon Lee]
-
A.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
B.
Woo-sung Jung
Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
-
C.
Jung Kim
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
-
D.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
E.
Il-woo Jung
Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
- 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: Hoon Lee Triple: [Teenage Mutant Ninja Turtles (2012 TV series), voiceActor, Hoon Lee]
Generated description
Hoon Lee is an American actor and voice actor known for roles in series like Banshee and for voicing characters in animated shows and video games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoon Lee Target entity description: Hoon Lee is an American actor and voice actor known for roles in series like Banshee and for voicing characters in animated shows and video games.
-
A.
Jin Lee
Jin Lee is the gentle, supportive father of protagonist Meilin "Mei" Lee in Pixar's animated film "Turning Red."
-
B.
Woo-sung Jung
Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
-
C.
Jung Kim
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
-
D.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
E.
Il-woo Jung
Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16a30888190ae474d90bb71ac49 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b029960819090de37c99e80ceb9 |
completed | March 27, 2026, 10:56 p.m. |
| NEDg | Description generation | batch_69c70bf3e2fc8190bc5d044b890ddc02 |
completed | March 27, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70cece560819099b488a95a3c79c5 |
completed | March 27, 2026, 11:04 p.m. |
Created at: March 27, 2026, 2:09 p.m.