Triple

T10280005
Position Surface form Disambiguated ID Type / Status
Subject Meredith Palmer E241071 entity
Predicate educationDetail P48900 FINISHED
Object majored in psychology (mentioned in series) 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: majored in psychology (mentioned in series) | Statement: [Meredith Palmer, educationDetail, majored in psychology (mentioned in series)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: educationDetail
Context triple: [Meredith Palmer, educationDetail, majored in psychology (mentioned in series)]
  • A. educationField chosen
    Indicates the academic or professional discipline in which an entity has been educated or trained.
  • B. educationType
    Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
  • C. educationSetting
    Indicates the type or context of the educational environment in which the related entity participates or operates.
  • D. educationLocation
    Indicates the place or institution where an entity received education or underwent formal learning.
  • E. educationSystem
    Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7ccb7ec8190a538cf279e48116e completed April 7, 2026, 10:09 a.m.
PD Predicate disambiguation batch_69d4d1f117708190928f92ae2611d724 completed April 7, 2026, 9:44 a.m.
Created at: April 6, 2026, 11:38 a.m.