Triple
T10105610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Florida Senate |
E216311
|
entity |
| Predicate | styleOfAddress |
P536
|
FINISHED |
| Object |
Madam President
"Madam President" is the formal honorific used to address a woman serving as the presiding officer of the Florida Senate.
|
E843737
|
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 President | Statement: [President of the Florida Senate, styleOfAddress, Madam President]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam President Context triple: [President of the Florida Senate, styleOfAddress, Madam President]
-
A.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
-
B.
Madam President
Madam President is the formal style of address used for a woman serving as President of the Senate in Belgium.
-
C.
Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
-
D.
Madam President
Madam President is an honorific title used for a female head of state or government, notably associated with Indonesia’s former president Megawati Sukarnoputri.
-
E.
Madam President
"Madam President" is the formal style of address used for a woman serving as President of the Swiss Confederation.
- 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 President Triple: [President of the Florida Senate, styleOfAddress, Madam President]
Generated description
"Madam President" is the formal honorific used to address a woman serving as the presiding officer of the Florida Senate.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madam President Target entity description: "Madam President" is the formal honorific used to address a woman serving as the presiding officer of the Florida Senate.
-
A.
Madam President
"Madam President" is the formal style of address used for a female President of the United States.
-
B.
Madam President
Madam President is the formal style of address used for a woman serving as President of the Senate in Belgium.
-
C.
Madam President
"Madam President" is the formal style of address used for a woman serving as President of the Swiss Confederation.
-
D.
Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
-
E.
Madam President
Madam President is an honorific title used for a female head of state or government, notably associated with Indonesia’s former president Megawati Sukarnoputri.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09dde888190bb550a3cd0b204fe |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e59ec83c8190a79fbb0d0de90310 |
completed | April 5, 2026, 10:43 p.m. |
| NEDg | Description generation | batch_69d2e6f0aa988190aa9a866afcc2a1a2 |
completed | April 5, 2026, 10:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e78384f48190abb7bdd7fcadcd9a |
completed | April 5, 2026, 10:51 p.m. |
Created at: March 30, 2026, 9:03 p.m.