Triple
T390987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Mexico |
E8878
|
entity |
| Predicate | style |
P87
|
FINISHED |
| Object |
Señor Presidente
Señor Presidente is the formal Spanish honorific used to address the sitting President of Mexico.
|
E49686
|
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: Señor Presidente | Statement: [President of Mexico, style, Señor Presidente]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Señor Presidente Context triple: [President of Mexico, style, Señor Presidente]
-
A.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
B.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
-
C.
Mr. President
"Mr. President" is a formal style of address used for the President of Ecuador.
-
D.
Mr. Secretary
"Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
-
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. 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: Señor Presidente Triple: [President of Mexico, style, Señor Presidente]
Generated description
Señor Presidente is the formal Spanish honorific used to address the sitting President of Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Señor Presidente Target entity description: Señor Presidente is the formal Spanish honorific used to address the sitting President of Mexico.
-
A.
Mr. President
"Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
-
B.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
-
C.
Mr. President
"Mr. President" is a formal style of address used for the President of Ecuador.
-
D.
Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
-
E.
Mr. Secretary
"Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5d73e881909101308a583c8f13 |
completed | Feb. 28, 2026, 1:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a405f576148190b058300c3bd0d032 |
completed | March 1, 2026, 9:25 a.m. |
| NEDg | Description generation | batch_69a406cd30a081908f44f1d0e4cd988e |
completed | March 1, 2026, 9:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a40724c4488190875e70cb427fff76 |
completed | March 1, 2026, 9:30 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.