Triple
T5160604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2 Fast 2 Furious |
E116425
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Devon Aoki
Devon Aoki is an American model and actress best known for her roles in action films like "2 Fast 2 Furious" and "Sin City."
|
E499463
|
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: Devon Aoki | Statement: [2 Fast 2 Furious, starring, Devon Aoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Devon Aoki Context triple: [2 Fast 2 Furious, starring, Devon Aoki]
-
A.
Kelly Matsumoto
Kelly Matsumoto is a film editor known for her work on major Hollywood productions, including the science fiction blockbuster "Star Trek Beyond."
-
B.
Jordan Nagai
Jordan Nagai is an American former child voice actor best known for voicing the character Russell in Pixar's animated film "Up."
-
C.
Kerri Higuchi
Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
-
D.
Daryn Okada
Daryn Okada is an American cinematographer known for his work on a wide range of studio films, including popular comedies and genre movies.
-
E.
Rinako Kikuchi
Rinako Kikuchi is the stage name of Japanese actress Yuriko Kikuchi, known for her acclaimed performances in both Japanese cinema and international films.
- 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: Devon Aoki Triple: [2 Fast 2 Furious, starring, Devon Aoki]
Generated description
Devon Aoki is an American model and actress best known for her roles in action films like "2 Fast 2 Furious" and "Sin City."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Devon Aoki Target entity description: Devon Aoki is an American model and actress best known for her roles in action films like "2 Fast 2 Furious" and "Sin City."
-
A.
Kelly Matsumoto
Kelly Matsumoto is a film editor known for her work on major Hollywood productions, including the science fiction blockbuster "Star Trek Beyond."
-
B.
Jordan Nagai
Jordan Nagai is an American former child voice actor best known for voicing the character Russell in Pixar's animated film "Up."
-
C.
Kerri Higuchi
Kerri Higuchi is a Korean American actress and director known for her work in film and television and for being married to actor John Cho.
-
D.
Daryn Okada
Daryn Okada is an American cinematographer known for his work on a wide range of studio films, including popular comedies and genre movies.
-
E.
Rinako Kikuchi
Rinako Kikuchi is the stage name of Japanese actress Yuriko Kikuchi, known for her acclaimed performances in both Japanese cinema and international films.
- 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_69bd445edb3881909b93b34d260717fc |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd79073a54819080cd1e8de6fe906a |
completed | March 20, 2026, 4:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bed92b3ab48190900cf5c246dba433 |
completed | March 21, 2026, 5:45 p.m. |
| NEDg | Description generation | batch_69beda3bfee08190a6e1d8b06739cade |
completed | March 21, 2026, 5:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beda93175481908c79010c7fe6897e |
completed | March 21, 2026, 5:51 p.m. |
Created at: March 20, 2026, 1:44 p.m.