Triple
T35520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretary of the Army |
E702
|
entity |
| Predicate | styleOfAddress |
P536
|
FINISHED |
| Object |
Madam Secretary
"Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
|
E3237
|
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: Madam Secretary | Statement: [Secretary of the Army, styleOfAddress, Madam Secretary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam Secretary Context triple: [Secretary of the Army, styleOfAddress, Madam Secretary]
-
A.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
-
B.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
-
C.
West Wing
The West Wing is the section of the White House that houses the Oval Office and the primary offices of the President of the United States and senior staff.
-
D.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
E.
Francis H. Underwood
Francis H. Underwood was a 19th-century American editor and literary figure best known for helping to establish and shape the influential magazine The Atlantic Monthly.
- 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: Madam Secretary Triple: [Secretary of the Army, styleOfAddress, Madam Secretary]
Generated description
"Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madam Secretary Target entity description: "Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
-
A.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
-
B.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
-
C.
West Wing
The West Wing is the section of the White House that houses the Oval Office and the primary offices of the President of the United States and senior staff.
-
D.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
E.
Francis H. Underwood
Francis H. Underwood was a 19th-century American editor and literary figure best known for helping to establish and shape the influential magazine The Atlantic Monthly.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24aca5ed481908d1aa2ca656f25ea |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e607c5c8190b10af5106685b3c6 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a24f2f57fc8190a525ac39c960f082 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a24fca983c8190a62b8820645d2d2c |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.