Triple

T31619669
Position Surface form Disambiguated ID Type / Status
Subject Dean of the Arches E806858 entity
Predicate alsoHoldsOfficeAs P8468 FINISHED
Object Master of the Faculties 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: Master of the Faculties | Statement: [Dean of the Arches, alsoHoldsOfficeAs, Master of the Faculties]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: alsoHoldsOfficeAs
Context triple: [Dean of the Arches, alsoHoldsOfficeAs, Master of the Faculties]
  • A. alsoHoldsOfficeOf chosen
    Indicates that an entity currently holding one office or position simultaneously holds another office or position as well.
  • B. officeHolderMayAlsoBe
    Indicates that an individual holding one office or position is permitted or able to simultaneously hold another specified office or position.
  • C. memberHoldsOffice
    Indicates that a member occupies or serves in a specific official position or office within an organization or governing body.
  • D. representsOfficeOf
    Indicates that one entity serves as the official office or administrative location associated with another entity.
  • E. traditionallyHoldsOffice
    Indicates that an entity customarily or historically occupies a particular office or position as part of an established tradition.
  • 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_69f348d7883c8190b6c13ab92b7ef076 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a8ad5fcc8190a01432d53583481c completed May 3, 2026, 1:45 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
Created at: April 30, 2026, 10:40 p.m.