Triple

T23494916
Position Surface form Disambiguated ID Type / Status
Subject Lady Glencora M'Cluskie E571678 entity
Predicate appearsIn P795 FINISHED
Object The Prime Minister NE NERFINISHED

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: The Prime Minister | Statement: [Lady Glencora M'Cluskie, appearsIn, The Prime Minister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Prime Minister
Context triple: [Lady Glencora M'Cluskie, appearsIn, The Prime Minister]
  • A. The Prime Minister chosen
    "The Prime Minister" is a political novel by Anthony Trollope that explores power, ambition, and social pressures within the world of British parliamentary politics.
  • B. Prime Minister
    The Prime Minister is the head of government in a parliamentary system, responsible for leading the executive branch and setting national policy.
  • C. Mr Prime Minister
    "Mr Prime Minister" is the formal style of address used for the head of government of Estonia.
  • D. Mr Prime Minister
    Mr Prime Minister is the formal style of address used for the head of government of the Slovak Republic.
  • E. Mr Prime Minister
    "Mr Prime Minister" is the formal style of address used for the head of government of Kosovo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245b4829881909b77a70e942bbd54 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7def8ac8190ade511299078d55b completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:05 p.m.