Triple

T12115865
Position Surface form Disambiguated ID Type / Status
Subject Yes, Prime Minister E288559 entity
Predicate hasSequel P1961 FINISHED
Object Yes, Prime Minister (2013 TV series) 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 (2013 TV series) | Statement: [Yes, Prime Minister, hasSequel, Yes, Prime Minister (2013 TV series)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yes, Prime Minister (2013 TV series)
Context triple: [Yes, Prime Minister, hasSequel, Yes, Prime Minister (2013 TV series)]
  • 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 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 Ukraine.
  • E. Mr. Prime Minister
    Mr. Prime Minister is the formal style of address used for the head of government of Azerbaijan.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f67f9c30819089305d5d42210c34 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:49 p.m.