Triple
T2014939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyeon Schröder-Kim |
E43772
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Soyeon
Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
|
E229322
|
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: Soyeon | Statement: [Soyeon Schröder-Kim, givenName, Soyeon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soyeon Context triple: [Soyeon Schröder-Kim, givenName, Soyeon]
-
A.
Son Mi-na
Son Mi-na is a South Korean athlete best known for delivering the Olympic Oath on behalf of all competitors at the 1988 Seoul Summer Games.
-
B.
Han Mi-nyeo
Han Mi-nyeo is a loud, manipulative, and opportunistic contestant in the South Korean survival drama series "Squid Game," known for her volatile alliances and dramatic personality.
-
C.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
D.
Naong Hyegeun
Naong Hyegeun was a prominent Korean Buddhist monk and reformer of the Goryeo dynasty, known for revitalizing Seon (Zen) Buddhism and establishing important temples.
-
E.
Soohorang
Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
- 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: Soyeon Triple: [Soyeon Schröder-Kim, givenName, Soyeon]
Generated description
Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soyeon Target entity description: Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
-
A.
Son Mi-na
Son Mi-na is a South Korean athlete best known for delivering the Olympic Oath on behalf of all competitors at the 1988 Seoul Summer Games.
-
B.
Han Mi-nyeo
Han Mi-nyeo is a loud, manipulative, and opportunistic contestant in the South Korean survival drama series "Squid Game," known for her volatile alliances and dramatic personality.
-
C.
Sojin
Sojin is a given name, often used in East Asian cultures, that can refer to various individuals in entertainment, arts, and other fields.
-
D.
Naong Hyegeun
Naong Hyegeun was a prominent Korean Buddhist monk and reformer of the Goryeo dynasty, known for revitalizing Seon (Zen) Buddhism and establishing important temples.
-
E.
Soohorang
Soohorang is the white tiger character that served as the official mascot of the 2018 Winter Olympics in Pyeongchang, South Korea.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1fe5ad548190b4a64c5320b99c6d |
completed | March 9, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69ae2078f5bc81909e4226e4f4188e87 |
completed | March 9, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2121a43481908ea6eef3d4e06407 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:37 p.m.