Triple
T22837434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Age of Shadows |
E565984
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Um Tae-goo
Um Tae-goo is a South Korean actor known for his intense performances in films and television dramas, particularly in crime and action genres.
|
E1557627
|
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: Um Tae-goo | Statement: [The Age of Shadows, starring, Um Tae-goo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Um Tae-goo Context triple: [The Age of Shadows, starring, Um Tae-goo]
-
A.
Oh Dae-su
Oh Dae-su is the vengeful, psychologically tormented protagonist of the South Korean neo-noir thriller film "Oldboy."
-
B.
Woncheuk
Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
-
C.
Yong-taek
Yong-taek is a Korean masculine given name commonly used in South Korea.
-
D.
Tae-ho
Tae-ho is the resourceful yet troubled space scavenger protagonist of the South Korean sci-fi film "Space Sweepers."
-
E.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
- 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: Um Tae-goo Triple: [The Age of Shadows, starring, Um Tae-goo]
Generated description
Um Tae-goo is a South Korean actor known for his intense performances in films and television dramas, particularly in crime and action genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Um Tae-goo Target entity description: Um Tae-goo is a South Korean actor known for his intense performances in films and television dramas, particularly in crime and action genres.
-
A.
Oh Dae-su
Oh Dae-su is the vengeful, psychologically tormented protagonist of the South Korean neo-noir thriller film "Oldboy."
-
B.
Woncheuk
Woncheuk was a 7th-century Korean Buddhist monk and scholar renowned for his influential commentaries on Yogācāra and Huayan doctrines in Tang China.
-
C.
Yong-taek
Yong-taek is a Korean masculine given name commonly used in South Korea.
-
D.
Tae-ho
Tae-ho is the resourceful yet troubled space scavenger protagonist of the South Korean sci-fi film "Space Sweepers."
-
E.
Yong-gi
Yong-gi is a Korean given name commonly used for males.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e303cec81909c5c118dc8c93354 |
completed | April 29, 2026, 3:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ba7b1c6c08190ad3c599ef993c9d0 |
completed | May 18, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_6a0ba8666f608190b512aa4c8442f6c1 |
completed | May 19, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0baa4decf881909774facad2cae93d |
completed | May 19, 2026, 12:09 a.m. |
Created at: April 17, 2026, 3:35 p.m.