Triple
T2461705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fast & Furious |
E54547
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Sung Kang
Sung Kang is an American actor best known for his role as Han Lue in the Fast & Furious film franchise.
|
E268557
|
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: Sung Kang | Statement: [Fast & Furious, stars, Sung Kang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sung Kang Context triple: [Fast & Furious, stars, Sung Kang]
-
A.
John Cho
John Cho is a Korean American actor best known for his roles in the "Harold & Kumar" comedy series and as Hikaru Sulu in the rebooted "Star Trek" film franchise.
-
B.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
C.
Peter Sohn
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
D.
Simu Liu
Simu Liu is a Chinese Canadian actor best known for starring as the Marvel superhero Shang-Chi and appearing in the sitcom "Kim's Convenience" and the film "Barbie."
-
E.
Steven Yeun
Steven Yeun is a Korean-American actor best known for his roles in the TV series "The Walking Dead" and the films "Minari" and "Burning."
- 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: Sung Kang Triple: [Fast & Furious, stars, Sung Kang]
Generated description
Sung Kang is an American actor best known for his role as Han Lue in the Fast & Furious film franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sung Kang Target entity description: Sung Kang is an American actor best known for his role as Han Lue in the Fast & Furious film franchise.
-
A.
John Cho
John Cho is a Korean American actor best known for his roles in the "Harold & Kumar" comedy series and as Hikaru Sulu in the rebooted "Star Trek" film franchise.
-
B.
Haan Lee
Haan Lee is one of the children of acclaimed Taiwanese-American film director Ang Lee.
-
C.
Peter Sohn
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
D.
Simu Liu
Simu Liu is a Chinese Canadian actor best known for starring as the Marvel superhero Shang-Chi and appearing in the sitcom "Kim's Convenience" and the film "Barbie."
-
E.
Steven Yeun
Steven Yeun is a Korean-American actor best known for his roles in the TV series "The Walking Dead" and the films "Minari" and "Burning."
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd11c47408190b10c7f6a151f2db2 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0d2b2748190b12611863d8bf4ad |
completed | March 9, 2026, 4:09 p.m. |
| NEDg | Description generation | batch_69aef3f1fb9481909748308457e6e3df |
completed | March 9, 2026, 4:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aef8398fd08190821e9503c01af80a |
completed | March 9, 2026, 4:41 p.m. |
Created at: March 6, 2026, 9:44 p.m.