Triple

T6142767
Position Surface form Disambiguated ID Type / Status
Subject Lady Glencora Palliser E137000 entity
Predicate appearsIn P795 FINISHED
Object The Prime Minister E24549 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: The Prime Minister | Statement: [Lady Glencora Palliser, 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 Palliser, 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. Chancellor
    The Chancellor is the chief executive officer responsible for overseeing and guiding the California Community Colleges system.
  • E. Chancellor
    Chancellor is a surname of English origin borne by various notable individuals, including the American television news anchor John Chancellor.
  • 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_69c008a2c6308190a56519b22d55d083 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05cb387ac8190a60579b59a741425 completed March 22, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135f88db881908b8a5d9c35bf0fbb completed March 23, 2026, 12:45 p.m.
Created at: March 22, 2026, 4:16 p.m.