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.