Triple

T38483966
Position Surface form Disambiguated ID Type / Status
Subject Baron Home of the Hirsel E917861 entity
Predicate holderNotableOffice P59478 FINISHED
Object Secretary of State for Foreign Affairs 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: Secretary of State for Foreign Affairs | Statement: [Baron Home of the Hirsel, holderNotableOffice, Secretary of State for Foreign Affairs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: holderNotableOffice
Context triple: [Baron Home of the Hirsel, holderNotableOffice, Secretary of State for Foreign Affairs]
  • A. notableOfficer
    Indicates that an entity has served as a significant or distinguished officer of another entity, such as an organization, institution, or group.
  • B. notableOfficeHolder
    Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
  • C. notableFormerOfficeHolderRole chosen
    Indicates that an entity previously held a particular official position or role that is considered notable.
  • D. notableOfficeLevel
    Indicates that an entity holds or is associated with a notable office or position at a specified hierarchical level.
  • E. notableHolderOccupation
    Indicates that a person notably associated with an entity (e.g., an award, office, or title) held a particular occupation or professional role.
  • 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_69f76e9894208190a129a553a60ca58c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd313e61c8190b174b331365b803f completed May 7, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
Created at: May 3, 2026, 4:31 p.m.