Triple

T27178635
Position Surface form Disambiguated ID Type / Status
Subject Henry Ittleson E683123 entity
Predicate businessDivisionFounded P165879 FINISHED
Object commercial lending operations of CIT Group 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: commercial lending operations of CIT Group | Statement: [Henry Ittleson, businessDivisionFounded, commercial lending operations of CIT Group]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: businessDivisionFounded
Context triple: [Henry Ittleson, businessDivisionFounded, commercial lending operations of CIT Group]
  • A. companyFoundedFocus
    Indicates that a company was founded with a particular primary focus, such as a specific industry, mission, or area of activity.
  • B. organizationTypeFounded
    Indicates the type or category of organization that was established or created in a founding event.
  • C. organizationFoundedAs
    Indicates that an organization was originally established under a particular name, form, or predecessor entity.
  • D. headquartersFoundedCompanyIn
    Indicates that a headquarters entity established or founded a particular company.
  • E. parentCompanyFounded
    Indicates that the subject parent company was founded or established on the specified date or by the specified founding event.
  • 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_69eefad086808190ab89816c0c300476 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f65b14512c8190a40e70319dcc54cd completed May 2, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69f659cc571c819097e51e531961d812 completed May 2, 2026, 8:08 p.m.
PDg Predicate description generation batch_69f65a9cb0bc8190bf8a9b319900bad5 completed May 2, 2026, 8:12 p.m.
Created at: April 27, 2026, 9:27 a.m.