Triple

T26406100
Position Surface form Disambiguated ID Type / Status
Subject Morton, Bliss & Co. E663836 entity
Predicate coFounderLaterPosition P160510 FINISHED
Object Levi P. Morton – Vice President of the United States 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: Levi P. Morton – Vice President of the United States | Statement: [Morton, Bliss & Co., coFounderLaterPosition, Levi P. Morton – Vice President of the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coFounderLaterPosition
Context triple: [Morton, Bliss & Co., coFounderLaterPosition, Levi P. Morton – Vice President of the United States]
  • A. coFounderCompany
    Indicates that a person is one of the founding members who jointly established a particular company.
  • B. coFounderWith
    Indicates that two or more entities jointly founded the same organization or venture.
  • C. coFounderOfFounder
    Indicates that one entity is a co-founder of another entity who is themselves a founder of something else.
  • D. hasCoFounderRoleOf
    Indicates that one entity holds the role or position of co-founder in relation to another entity, such as an organization or venture.
  • E. coFounderOccupation
    Indicates that the specified occupation is or was held by a person in their role as a co-founder of an organization.
  • F. None of above. chosen

Provenance (4 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_69ee883931888190901be96d75ee23cc completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f610f87374819084279ca5c2f3d32f completed May 2, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69f5f800fa9c8190aab0962669fde8ac completed May 2, 2026, 1:11 p.m.
PDg Predicate description generation batch_69f6018ceb1c8190a6a5f84071659a96 completed May 2, 2026, 1:52 p.m.
Created at: April 26, 2026, 11:35 p.m.