Triple

T1477319
Position Surface form Disambiguated ID Type / Status
Subject Warren E. Miller E30870 entity
Predicate academicContribution P11773 FINISHED
Object creation of long-term panel election studies 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: creation of long-term panel election studies | Statement: [Warren E. Miller, academicContribution, creation of long-term panel election studies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: academicContribution
Context triple: [Warren E. Miller, academicContribution, creation of long-term panel election studies]
  • A. researchContribution chosen
    Indicates that an entity has produced or participated in creating new knowledge, findings, or innovations within a research context.
  • B. academicBody
    Indicates a formal organizational relationship in which an entity functions as an academic institution or governing academic unit associated with another entity.
  • C. academicFocus
    Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
  • D. academicApproach
    Indicates an entity’s characteristic method, strategy, or style used in academic work, study, or instruction.
  • 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_69a498fe55a88190ab7f9e40ace88e49 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c603f9e88190b340734709534860 completed March 1, 2026, 11:04 p.m.
PD Predicate disambiguation batch_69a4c484e52c81908948ff8c0a42751b completed March 1, 2026, 10:58 p.m.
Created at: March 1, 2026, 8:11 p.m.