Triple
T23362803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eliza Walker |
E593229
|
entity |
| Predicate | coWorkerOf |
P398
|
FINISHED |
| Object |
Timmy Yoon
Timmy Yoon is a character from the Netflix comedy series "Blockbuster," where he manages the last remaining Blockbuster video store and tries to keep it alive alongside his quirky coworkers.
|
E1584706
|
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: Timmy Yoon | Statement: [Eliza Walker, coWorkerOf, Timmy Yoon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timmy Yoon Context triple: [Eliza Walker, coWorkerOf, Timmy Yoon]
-
A.
Kenny Kim
Kenny Kim is a screenwriter best known for his work on the family martial-arts comedy film "Three Ninjas."
-
B.
Aaron Yoo
Aaron Yoo is an American actor known for his supporting roles in films like "Disturbia," "21," and "Nick and Norah's Infinite Playlist," as well as various television appearances.
-
C.
Bryan Oh
Bryan Oh is a television writer and producer best known for his work on series such as "Heroes" and "Chicago Fire."
-
D.
Hudson Yang
Hudson Yang is an American actor best known for playing Eddie Huang on the ABC sitcom "Fresh Off the Boat."
-
E.
Joe Yoo
Joe Yoo is the central protagonist of the film "May December," around whom the story’s emotional and narrative developments revolve.
- 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: Timmy Yoon Triple: [Eliza Walker, coWorkerOf, Timmy Yoon]
Generated description
Timmy Yoon is a character from the Netflix comedy series "Blockbuster," where he manages the last remaining Blockbuster video store and tries to keep it alive alongside his quirky coworkers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Timmy Yoon Target entity description: Timmy Yoon is a character from the Netflix comedy series "Blockbuster," where he manages the last remaining Blockbuster video store and tries to keep it alive alongside his quirky coworkers.
-
A.
Kenny Kim
Kenny Kim is a screenwriter best known for his work on the family martial-arts comedy film "Three Ninjas."
-
B.
Aaron Yoo
Aaron Yoo is an American actor known for his supporting roles in films like "Disturbia," "21," and "Nick and Norah's Infinite Playlist," as well as various television appearances.
-
C.
Bryan Oh
Bryan Oh is a television writer and producer best known for his work on series such as "Heroes" and "Chicago Fire."
-
D.
Hudson Yang
Hudson Yang is an American actor best known for playing Eddie Huang on the ABC sitcom "Fresh Off the Boat."
-
E.
Joe Yoo
Joe Yoo is the central protagonist of the film "May December," around whom the story’s emotional and narrative developments revolve.
- 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_69e25d2593c88190bcdf4a716a94ccb2 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a0aa0ed88190b0198cbfd1bcc59b |
completed | April 29, 2026, 6:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd5ca4881909453c262d6ab9b1a |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c61cdf14481909173cc65e16f2c82 |
completed | May 19, 2026, 1:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c625b52248190ba3d59f42dd99da3 |
completed | May 19, 2026, 1:15 p.m. |
Created at: April 17, 2026, 5:30 p.m.