Triple

T97049
Position Surface form Disambiguated ID Type / Status
Subject President of the Massachusetts Senate E1954 entity
Predicate style P87 FINISHED
Object Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
E15801 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. President | Statement: [President of the Massachusetts Senate, style, Mr. President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. President
Context triple: [President of the Massachusetts Senate, style, Mr. President]
  • A. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • B. Mr. Vice President
    Mr. Vice President is the formal spoken and written title used to address the sitting Vice President of the United States.
  • C. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • D. Madam Vice President
    "Madam Vice President" is the formal mode of address used for a woman serving as Vice President of the United States.
  • 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
  • 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. President
Triple: [President of the Massachusetts Senate, style, Mr. President]
Generated description
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. President
Target entity description: "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • A. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • B. Mr. Vice President
    Mr. Vice President is the formal spoken and written title used to address the sitting Vice President of the United States.
  • C. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • D. Madam Vice President
    "Madam Vice President" is the formal mode of address used for a woman serving as Vice President of the United States.
  • 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_69a24d4862f881908cc8b89d3a78031d completed Feb. 28, 2026, 2:04 a.m.
NER Named-entity recognition batch_69a24fd5cecc8190aca5fb4c4fe91a19 completed Feb. 28, 2026, 2:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b014ab2c8190bcef8382280932dc completed Feb. 28, 2026, 9:06 a.m.
NEDg Description generation batch_69a2b0bd233c81908f3595abdfa51666 completed Feb. 28, 2026, 9:09 a.m.
NED2 Entity disambiguation (via description) batch_69a2b122a168819088be9e5455a1aac1 completed Feb. 28, 2026, 9:10 a.m.
Created at: Feb. 28, 2026, 2:09 a.m.