Triple
T19410779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fortress |
E485579
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Go Soo
Go Soo is a South Korean actor known for his leading roles in films and television dramas, often praised for his intense and emotionally nuanced performances.
|
E1374110
|
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: Go Soo | Statement: [The Fortress, castMember, Go Soo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Go Soo Context triple: [The Fortress, castMember, Go Soo]
-
A.
Soohorang
Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
-
B.
Yo-jong
Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
-
C.
Ju-Hee
Ju-Hee is the child of Ji-Yoon Kim, likely a member of a Korean family.
-
D.
Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
-
E.
Mogae
Mogae is the surname of Festus Mogae, the former President of Botswana and a prominent African political leader.
- 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: Go Soo Triple: [The Fortress, castMember, Go Soo]
Generated description
Go Soo is a South Korean actor known for his leading roles in films and television dramas, often praised for his intense and emotionally nuanced performances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Go Soo Target entity description: Go Soo is a South Korean actor known for his leading roles in films and television dramas, often praised for his intense and emotionally nuanced performances.
-
A.
Soohorang
Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
-
B.
Yo-jong
Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
-
C.
Ju-Hee
Ju-Hee is the child of Ji-Yoon Kim, likely a member of a Korean family.
-
D.
Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
-
E.
Mogae
Mogae is the surname of Festus Mogae, the former President of Botswana and a prominent African political leader.
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af4cc0c81909056b5e2ee574ab1 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b996ebc81908fe7c4ff930896ba |
completed | May 15, 2026, 2:20 p.m. |
| NEDg | Description generation | batch_6a072eb2d5b08190a0cafb1427cfd16d |
completed | May 15, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a072f6caef48190acb52960ebde9ace |
completed | May 15, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:37 p.m.