Triple

T38413709
Position Surface form Disambiguated ID Type / Status
Subject Conservative government of Bonar Law E901547 entity
Predicate airSecretary P23783 FINISHED
Object Sir Samuel Hoare 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: Sir Samuel Hoare | Statement: [Conservative government of Bonar Law, airSecretary, Sir Samuel Hoare]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: airSecretary
Context triple: [Conservative government of Bonar Law, airSecretary, Sir Samuel Hoare]
  • A. chiefOfAirStaff
    Indicates that one entity holds the position or role of the highest-ranking officer in charge of an air force for the other entity.
  • B. stateSecretary chosen
    Indicates that one entity holds or is associated with the position of state secretary in relation to another entity (such as a government, state, or administration).
  • C. hadSecretary
    Indicates that one entity employed or was served by another entity in the role of a secretary.
  • D. specialSecretary
    Indicates a relationship where one entity serves as a special secretary (with specific or exceptional administrative or advisory duties) to another entity.
  • E. currentSecretary
    Indicates that one entity currently holds the position or role of secretary for another entity.
  • F. None of above.

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_69f76e61e79c81908b787d83b46ab92b completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:31 p.m.