Triple
T7368128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosh HaMemshala |
E169921
|
entity |
| Predicate | hasFormOfAddress |
P4477
|
FINISHED |
| Object |
Madam Prime Minister
"Madam Prime Minister" is a formal style of address used for a woman serving as the head of government in a parliamentary system.
|
E661089
|
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 Prime Minister | Statement: [Rosh HaMemshala, hasFormOfAddress, Madam Prime Minister]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madam Prime Minister Context triple: [Rosh HaMemshala, hasFormOfAddress, Madam Prime Minister]
-
A.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Ukraine.
-
B.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address traditionally used for the head of government of the Russian Federation.
-
C.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
-
D.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of the Republic of Croatia.
-
E.
Madam Minister
Madam Minister is a Canadian political drama television series that serves as a counterpart to the U.S. series "Madam Secretary," focusing on the personal and professional challenges of a female foreign minister.
- 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 Prime Minister Triple: [Rosh HaMemshala, hasFormOfAddress, Madam Prime Minister]
Generated description
"Madam Prime Minister" is a formal style of address used for a woman serving as the head of government in a parliamentary system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Madam Prime Minister Target entity description: "Madam Prime Minister" is a formal style of address used for a woman serving as the head of government in a parliamentary system.
-
A.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address traditionally used for the head of government of the Russian Federation.
-
B.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
-
C.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Ukraine.
-
D.
Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of the Republic of Croatia.
-
E.
Madam Minister
Madam Minister is a Canadian political drama television series that serves as a counterpart to the U.S. series "Madam Secretary," focusing on the personal and professional challenges of a female foreign minister.
- 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17fe278819094eb1dd886583c6a |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c810d9717c819099122cd64f9268fc |
completed | March 28, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69c811765fd0819095d0a3cac19ae7b8 |
completed | March 28, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c811cb77408190acf7cf837837b912 |
completed | March 28, 2026, 5:37 p.m. |
Created at: March 27, 2026, 3:07 p.m.