Triple

T33177830
Position Surface form Disambiguated ID Type / Status
Subject Maxine Carroll E849231 entity
Predicate relationshipToMayor P193741 FINISHED
Object secretary LITERAL 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: secretary | Statement: [Maxine Carroll, relationshipToMayor, secretary]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipToMayor
Context triple: [Maxine Carroll, relationshipToMayor, secretary]
  • A. relationshipToGovernor
    Indicates the specific familial, professional, or social relationship that one entity has to a governor.
  • B. relationToCouncil
    Indicates the nature or type of connection an entity has with a council, such as membership, oversight, affiliation, or governance relationship.
  • C. cityMayor
    Indicates that one entity serves as the mayor (chief elected municipal official) of the city represented by the other entity.
  • D. underMayor chosen
    Indicates that one entity holds a position, role, or responsibility that is subordinate to or overseen by a mayor.
  • E. relationshipToParliament
    Indicates the nature or type of formal connection an entity has with a parliament, such as its role, status, or institutional relationship to that legislative body.
  • 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_69f3495d06508190b0b7729982982cea completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a037c894b488190bcbec2eccaff4a01 completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379f338b881908e5593e45d764f4d completed May 12, 2026, 7:05 p.m.
Created at: May 1, 2026, 1:29 a.m.