Triple
T955052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SecDOT |
E20606
|
entity |
| Predicate | styleOfAddress |
P536
|
FINISHED |
| Object |
Mr. Secretary
Mr. Secretary is the formal spoken and written style of address used for the United States Secretary of Transportation.
|
E21455
|
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: Mr. Secretary | Statement: [SecDOT, styleOfAddress, Mr. Secretary]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Secretary Context triple: [SecDOT, styleOfAddress, Mr. Secretary]
-
A.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
-
B.
Mr. Secretary
"Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
-
C.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
-
D.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Education.
-
E.
Mr. Secretary
Mr. Secretary is an informal, gendered counterpart term to "Madam Secretary," typically used to address or refer to a male government official holding a secretary-level position.
- 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: Mr. Secretary Triple: [SecDOT, styleOfAddress, Mr. Secretary]
Generated description
Mr. Secretary is the formal spoken and written style of address used for the United States Secretary of Transportation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Secretary Target entity description: Mr. Secretary is the formal spoken and written style of address used for the United States Secretary of Transportation.
-
A.
Mr. Secretary
chosen
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
-
B.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
-
C.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
-
D.
Mr. Secretary
Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Education.
-
E.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
- F. None of above.
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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3f7a7608190b8a8dd2486654bec |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a933b00a58819084164f3dd3ecb070 |
completed | March 5, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69a963a788f08190b8849631db63bf00 |
completed | March 5, 2026, 11:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac0da2d24881909e6f67cc9951efd2 |
completed | March 7, 2026, 11:36 a.m. |
Created at: March 1, 2026, 7:40 p.m.