Triple
T10731069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoo Soon-taek |
E253074
|
entity |
| Predicate | honorificTitle |
P2097
|
FINISHED |
| Object | Madame Ban |
E253074
|
NE FINISHED |
How this triple was built (2 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.
Madame Ban
chosen
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.
-
B.
Mrs. Boncassen
Mrs. Boncassen is a fictional American matron from Anthony Trollope’s Palliser novels, known as the socially ambitious mother of Isabel Boncassen who navigates the complexities of British high society.
-
C.
Blanchette
Blanchette is a French feminine given name and diminutive form of Blanche, traditionally meaning "white" or "fair."
-
D.
Madame Cama
Madame Cama was an Indian independence activist and revolutionary who is best known for unfurling one of the first versions of the Indian national flag on foreign soil and advocating for India’s freedom from British rule.
-
E.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70fcb1cd881909635def59ad5d19c |
completed | April 9, 2026, 2:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69dbda1d1b108190a47b46661bc85b2d |
completed | April 12, 2026, 5:45 p.m. |
Created at: April 8, 2026, 9:14 p.m.