Triple

T12426747
Position Surface form Disambiguated ID Type / Status
Subject Nigel Hawthorne E296917 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: [Nigel Hawthorne, notableWork, Yes, Prime Minister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes, Prime Minister
Context triple: [Nigel Hawthorne, 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. 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.
  • D. Prime Minister
    The Prime Minister is the head of government in a parliamentary system, responsible for leading the executive branch and setting national policy.
  • E. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Ukraine.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63499061881908d25af7c3474f774 completed May 2, 2026, 5:30 p.m.
Created at: April 8, 2026, 9:55 p.m.