Triple

T19985471
Position Surface form Disambiguated ID Type / Status
Subject History of Magic E493919 entity
Predicate studentReputation P138202 FINISHED
Object considered boring by many students 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 boring by many students | Statement: [History of Magic, studentReputation, considered boring by many students]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studentReputation
Context triple: [History of Magic, studentReputation, considered boring by many students]
  • A. studentSectionReputation
    Indicates the perceived quality or standing of a particular student section, based on how it is viewed or evaluated by others.
  • B. youthAcademyReputation
    Indicates the perceived quality and success of an organization’s youth development system in producing and nurturing young talent.
  • C. schoolDistrictReputation
    Indicates the perceived quality and standing of a school district based on factors like academics, safety, resources, and community opinion.
  • D. pedagogicalReputation
    Indicates the perceived quality or standing of an entity’s teaching or instructional effectiveness as judged by others.
  • E. collegeScoringReputation
    Indicates the perceived quality or effectiveness of a college’s ability to score points or perform offensively in its competitive context.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d162b008190a18d325796d75d77 completed April 20, 2026, 5:06 p.m.
PD Predicate disambiguation batch_69e537fd311881908448f2aea8b4812e completed April 19, 2026, 8:15 p.m.
PDg Predicate description generation batch_69e543c42c688190a22f4d31ec692377 completed April 19, 2026, 9:06 p.m.
Created at: April 11, 2026, 3:29 p.m.