Triple
T328101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Secretary of Education |
E6563
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object | Madam Secretary |
E21919
|
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: Madam Secretary | Statement: [United States Secretary of Education, style, Madam Secretary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam Secretary Context triple: [United States Secretary of Education, style, Madam Secretary]
-
A.
Madam Secretary
"Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
-
B.
Madam Secretary
"Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
-
C.
Madam Secretary
"Madam Secretary" is the formal honorific used to address a woman serving in a high-ranking government secretary position, such as the Secretary of the Treasury.
-
D.
Madam Secretary
chosen
Madam Secretary is the formal honorific used to address a woman serving as a cabinet-level secretary in the United States government.
-
E.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
- 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_69a2e7933d6c8190bb2592ad13286ef2 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea98fa2c8190a5b44f4a26543a17 |
completed | Feb. 28, 2026, 1:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d241f924819087dedd32d7b6cc2b |
completed | March 1, 2026, 5:44 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.