Triple

T29168689
Position Surface form Disambiguated ID Type / Status
Subject Immanuel Velikovsky E739391 entity
Predicate positionInAcademia P193938 FINISHED
Object considered pseudoscientific by most scientists 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: considered pseudoscientific by most scientists | Statement: [Immanuel Velikovsky, positionInAcademia, considered pseudoscientific by most scientists]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionInAcademia
Context triple: [Immanuel Velikovsky, positionInAcademia, considered pseudoscientific by most scientists]
  • A. regionAcademicRole
    Indicates that an academic role or position is associated with, defined within, or applicable to a specific geographic or administrative region.
  • B. positionInScholarship
    Indicates the specific role, rank, or standing that an entity holds within a particular scholarship or scholarship program.
  • C. institutionAcademicProfile
    Indicates that an institution is associated with a specific academic profile, such as its academic characteristics, focus areas, or scholarly attributes.
  • D. academicType
    Indicates the specific academic category or classification associated with an entity (such as a work, program, or role).
  • E. countryAcademicRole
    Indicates a relationship in which an entity holds or is associated with an academic role or position within a specific country.
  • 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_69f07cb6394c8190ab7842c48e699e2a completed April 28, 2026, 9:24 a.m.
NER Named-entity recognition batch_69fd5bf69acc819092a01e4259785dc3 completed May 8, 2026, 3:43 a.m.
PD Predicate disambiguation batch_69fd59b3f4ac8190a7f9dd3142da6e09 completed May 8, 2026, 3:34 a.m.
PDg Predicate description generation batch_69fd5bf49288819098a12202411cba4f completed May 8, 2026, 3:43 a.m.
Created at: April 28, 2026, 11:51 a.m.