Triple

T1902454
Position Surface form Disambiguated ID Type / Status
Subject Henry Schultz E37719 entity
Predicate academicAdvisorOf P167 FINISHED
Object future econometricians at the University of Chicago 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: future econometricians at the University of Chicago | Statement: [Henry Schultz, academicAdvisorOf, future econometricians at the University of Chicago]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academicAdvisorOf
Context triple: [Henry Schultz, academicAdvisorOf, future econometricians at the University of Chicago]
  • A. academicAdvisor chosen
    Indicates that one entity serves as the academic advisor, providing formal guidance and oversight on academic matters, to another entity.
  • B. associatedWithAdvisor
    Indicates that an entity has a relationship of guidance, oversight, or mentorship with a designated advisor.
  • C. academicHead
    Indicates that one entity serves as the chief academic leader or head of another entity, such as a department, program, or institution.
  • D. studiedUnder
    Indicates that one entity received instruction, training, or mentorship from another, typically in an academic or apprenticeship context.
  • E. academicType
    Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb34d94fc8190a5bf1e582c77c725 completed March 7, 2026, 5:10 a.m.
PD Predicate disambiguation batch_69abafe9f8b0819086d8f6288511c66d completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:35 p.m.