Triple
T2288203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoo Soon-taek |
E51441
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object |
Madame Ban
Madame Ban is the honorific title commonly used for Yoo Soon-taek, the wife of former United Nations Secretary-General Ban Ki-moon and a prominent South Korean public figure.
|
E253074
|
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: Madame Ban | Statement: [Yoo Soon-taek, honorificTitle, Madame Ban]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madame Ban Context triple: [Yoo Soon-taek, honorificTitle, Madame Ban]
-
A.
Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
-
B.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Madame Leota
Madame Leota is a disembodied, ghostly medium whose talking head in a crystal ball delivers eerie incantations in Disney’s Haunted Mansion attraction.
-
E.
Mabel Grex
Mabel Grex is a central fictional character in Anthony Trollope’s novel "The Duke's Children," known for her beauty, charm, and complex romantic entanglements within high society.
- 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: Madame Ban Triple: [Yoo Soon-taek, honorificTitle, Madame Ban]
Generated description
Madame Ban is the honorific title commonly used for Yoo Soon-taek, the wife of former United Nations Secretary-General Ban Ki-moon and a prominent South Korean public figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madame Ban Target entity description: Madame Ban is the honorific title commonly used for Yoo Soon-taek, the wife of former United Nations Secretary-General Ban Ki-moon and a prominent South Korean public figure.
-
A.
Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
-
B.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
D.
Madame Leota
Madame Leota is a disembodied, ghostly medium whose talking head in a crystal ball delivers eerie incantations in Disney’s Haunted Mansion attraction.
-
E.
Mabel Grex
Mabel Grex is a central fictional character in Anthony Trollope’s novel "The Duke's Children," known for her beauty, charm, and complex romantic entanglements within high society.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2497ce881909b05eb9cec67d9e7 |
completed | March 7, 2026, 6:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f1b2a7c8190aa836f9feba2ce1a |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae8004fb6c81908f9fb1678f608419 |
completed | March 9, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae809ebfdc8190ae404d5711a58b59 |
completed | March 9, 2026, 8:11 a.m. |
Created at: March 4, 2026, 7:48 p.m.