Triple

T17119140
Position Surface form Disambiguated ID Type / Status
Subject President of the Legislative Council of Bermuda E415417 entity
Predicate styleOfAddress P536 FINISHED
Object Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Legislative Council of Bermuda.
E1250947 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 Legislative Council of Bermuda, styleOfAddress, Mr. President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. President
Context triple: [President of the Legislative Council of Bermuda, styleOfAddress, 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 Legislative Council of Bermuda, styleOfAddress, Mr. President]
Generated description
"Mr. President" is the formal style of address used for the presiding officer of the Legislative Council of Bermuda.
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 Legislative Council of Bermuda.
  • A. Mr. President
    "Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
  • 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 when speaking to or about the President of North Macedonia.
  • 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 Bulgaria.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e8086a388190a655a044feccab14 completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a0e11108190bfcf858142aa9ff3 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013b749680819097159f0fdc379f2c completed May 11, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_6a013bf9ef508190aac1155680f33eaf completed May 11, 2026, 2:16 a.m.
Created at: April 10, 2026, 5:35 a.m.