Triple

T16464176
Position Surface form Disambiguated ID Type / Status
Subject President of the New Hampshire Senate E399885 entity
Predicate hasStyle P1609 FINISHED
Object Mr. President
"Mr. President" is the formal title used to address the presiding officer of the New Hampshire Senate.
E1215295 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 New Hampshire Senate, hasStyle, Mr. President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. President
Context triple: [President of the New Hampshire Senate, hasStyle, Mr. President]
  • 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 the formal style of address used for the head of state of Austria.
  • D. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
  • E. Mr. President
    Mr. President is the formal style of address used for the head of state of Algeria.
  • 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 New Hampshire Senate, hasStyle, Mr. President]
Generated description
"Mr. President" is the formal title used to address the presiding officer of the New Hampshire Senate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. President
Target entity description: "Mr. President" is the formal title used to address the presiding officer of the New Hampshire Senate.
  • A. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • B. Mr. President
    "Mr. President" is the formal title used to address the presiding officer of the Florida Senate.
  • C. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
  • D. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • E. Mr. President
    "Mr. President" is the formal style of address used for the head of state of Romania.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d83687081908450657e1da6f6af completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f555f6081908b1f0d524b6fb9a7 completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a0050c5d4548190a674c1c19f08a9fd completed May 10, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0051a7ae208190b33d42cc8d4bb21f completed May 10, 2026, 9:36 a.m.
Created at: April 10, 2026, 5:10 a.m.