Triple

T24823473
Position Surface form Disambiguated ID Type / Status
Subject Helen Lyttle Kimmel ’42 Professor of Mathematics at Barnard College E621121 entity
Predicate institutionGenderFocus P2452 FINISHED
Object women's college 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: women's college | Statement: [Helen Lyttle Kimmel ’42 Professor of Mathematics at Barnard College, institutionGenderFocus, women's college]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: institutionGenderFocus
Context triple: [Helen Lyttle Kimmel ’42 Professor of Mathematics at Barnard College, institutionGenderFocus, women's college]
  • A. genderBranches
    Indicates a relationship that specifies the gender composition or gender-based categorization of branches within an organization or structure.
  • B. governsGender
    Indicates that one entity determines or constrains the gender classification or gender-related properties of another entity.
  • C. institutionCategory
    Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
  • D. genderEquality
    Indicates that the relationship or action promotes, reflects, or ensures equal rights, opportunities, and treatment for all genders without discrimination.
  • E. hasGenderFocus chosen
    Indicates that something is specifically concerned with, oriented toward, or primarily addressing a particular gender or gender-related issues.
  • 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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42d9000b8819081ea2605f3c193d6 completed May 1, 2026, 4:35 a.m.
PD Predicate disambiguation batch_69f420f471a0819095a6cd24ed8f7476 completed May 1, 2026, 3:41 a.m.
Created at: April 18, 2026, 5:05 a.m.