Triple
T19411821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Sweepers |
E485604
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Tae-ho
Tae-ho is the resourceful yet troubled space scavenger protagonist of the South Korean sci-fi film "Space Sweepers."
|
E1393687
|
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: Tae-ho | Statement: [Space Sweepers, mainCharacter, Tae-ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tae-ho Context triple: [Space Sweepers, mainCharacter, Tae-ho]
-
A.
Yong-taek
Yong-taek is a Korean masculine given name commonly used in South Korea.
-
B.
Sung-tae
Sung-tae is a Korean masculine given name commonly used in South Korea.
-
C.
Chung-ho
Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
-
D.
Lee Tae-hun
Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
-
E.
Dong Ha
Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
- 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: Tae-ho Triple: [Space Sweepers, mainCharacter, Tae-ho]
Generated description
Tae-ho is the resourceful yet troubled space scavenger protagonist of the South Korean sci-fi film "Space Sweepers."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tae-ho Target entity description: Tae-ho is the resourceful yet troubled space scavenger protagonist of the South Korean sci-fi film "Space Sweepers."
-
A.
Yong-taek
Yong-taek is a Korean masculine given name commonly used in South Korea.
-
B.
Sung-tae
Sung-tae is a Korean masculine given name commonly used in South Korea.
-
C.
Chung-ho
Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
-
D.
Lee Tae-hun
Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
-
E.
Dong Ha
Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
- 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_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07bd4c2de48190843b04b1a1eeaa8f |
completed | May 16, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_6a07bde28e848190aaa9c4a06b31bdb6 |
completed | May 16, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07bed9c62c819088d8e32f92b3b147 |
completed | May 16, 2026, 12:48 a.m. |
Created at: April 10, 2026, 1:37 p.m.