Triple

T16472386
Position Surface form Disambiguated ID Type / Status
Subject Prime Minister of Bulgaria E400095 entity
Predicate style P87 FINISHED
Object Mr. Prime Minister
Mr. Prime Minister is the formal style of address used for the head of government of Bulgaria.
E1214596 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. Prime Minister | Statement: [Prime Minister of Bulgaria, style, Mr. Prime Minister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Prime Minister
Context triple: [Prime Minister of Bulgaria, style, Mr. Prime Minister]
  • A. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of the Republic of Croatia.
  • B. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Ukraine.
  • C. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address traditionally used for the head of government of the Russian Federation.
  • D. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
  • E. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Georgia.
  • 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. Prime Minister
Triple: [Prime Minister of Bulgaria, style, Mr. Prime Minister]
Generated description
Mr. Prime Minister is the formal style of address used for the head of government of Bulgaria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. Prime Minister
Target entity description: Mr. Prime Minister is the formal style of address used for the head of government of Bulgaria.
  • A. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Georgia.
  • B. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Ukraine.
  • C. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address traditionally used for the head of government of the Russian Federation.
  • D. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
  • E. Mr. Prime Minister
    "Mr. Prime Minister" is the formal style of address used when speaking to or about the Prime Minister of Moldova.
  • 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_69e32dd19df881909e4562a5e8473338 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f5d16008190bd874080e86b8a2f completed May 10, 2026, 9:26 a.m.
NEDg Description generation batch_6a005016a3fc8190967fccc6e16b6ea8 completed May 10, 2026, 9:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0050b5afb4819089d27d279ba642af completed May 10, 2026, 9:32 a.m.
Created at: April 10, 2026, 5:11 a.m.