Triple
T13128485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Choi |
E311904
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Choi
Choi is a Korean surname shared by many notable individuals across fields such as literature, entertainment, and academia.
|
E1023249
|
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: Choi | Statement: [Susan Choi, familyName, Choi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Choi Context triple: [Susan Choi, familyName, Choi]
-
A.
Woncheuk
Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
-
B.
Cho Chang
Cho Chang is a Ravenclaw student at Hogwarts and Harry Potter’s early love interest, known for her role on the Ravenclaw Quidditch team and her involvement in the events surrounding Cedric Diggory.
-
C.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
D.
Choi Doo-ho
Choi Doo-ho is a South Korean film producer known for his work on the critically acclaimed fantasy-adventure film "Okja."
-
E.
Yun Chi-ho
Yun Chi-ho was a prominent Korean politician, educator, and independence activist of the late Joseon and early modern period, known for his influential role in Korea’s modernization and nationalist movements.
- 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: Choi Triple: [Susan Choi, familyName, Choi]
Generated description
Choi is a Korean surname shared by many notable individuals across fields such as literature, entertainment, and academia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Choi Target entity description: Choi is a Korean surname shared by many notable individuals across fields such as literature, entertainment, and academia.
-
A.
Woncheuk
Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
-
B.
Cho Chang
Cho Chang is a Ravenclaw student at Hogwarts and Harry Potter’s early love interest, known for her role on the Ravenclaw Quidditch team and her involvement in the events surrounding Cedric Diggory.
-
C.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
D.
Choi Doo-ho
Choi Doo-ho is a South Korean film producer known for his work on the critically acclaimed fantasy-adventure film "Okja."
-
E.
Yun Chi-ho
Yun Chi-ho was a prominent Korean politician, educator, and independence activist of the late Joseon and early modern period, known for his influential role in Korea’s modernization and nationalist movements.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9819bfd348190a22d44f837877e1c |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e28e922881909584296adc95d9b4 |
completed | May 3, 2026, 5:52 a.m. |
| NEDg | Description generation | batch_69f6e6d4aedc819090e6433600db4b31 |
completed | May 3, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e79e40bc8190bcf72d719d4e88dd |
completed | May 3, 2026, 6:13 a.m. |
Created at: April 9, 2026, 9:07 p.m.