Triple

T16333093
Position Surface form Disambiguated ID Type / Status
Subject Michael Byrne E396603 entity
Predicate notableWork P4 FINISHED
Object Yes, Prime Minister E288559 NE FINISHED

How this triple was built (2 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: Yes, Prime Minister | Statement: [Michael Byrne, notableWork, Yes, Prime Minister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes, Prime Minister
Context triple: [Michael Byrne, notableWork, Yes, Prime Minister]
  • A. Yes, Prime Minister chosen
    Yes, Prime Minister is a British political satire television series that humorously explores the inner workings and bureaucratic maneuvering of government at the highest levels.
  • B. Mr Prime Minister
    "Mr Prime Minister" is the formal style of address used for the head of government of Estonia.
  • C. Mr Prime Minister
    Mr Prime Minister is the formal style of address used for the head of government of the Slovak Republic.
  • D. Mr Prime Minister
    "Mr Prime Minister" is the formal style of address used for the head of government of Kosovo.
  • E. The Prime Minister
    "The Prime Minister" is a political novel by Anthony Trollope that explores power, ambition, and social pressures within the world of British parliamentary politics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2c4e0b1388190824b286e8452fb32 completed April 17, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026173dc081909e00f6647d1f68b3 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:07 a.m.