Triple

T7690467
Position Surface form Disambiguated ID Type / Status
Subject Norbert Hornstein E174230 entity
Predicate hasSupervised P67979 FINISHED
Object graduate students in linguistics 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: graduate students in linguistics | Statement: [Norbert Hornstein, hasSupervised, graduate students in linguistics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSupervised
Context triple: [Norbert Hornstein, hasSupervised, graduate students in linguistics]
  • A. canSupervise
    Indicates that one entity has the authority or capability to oversee, direct, or manage the work or activities of another entity.
  • B. hasSupervisingOrganization
    Indicates that an entity is overseen, managed, or directed by a specific supervising organization.
  • C. supervisesFor
    Indicates that one entity oversees, directs, or manages the work, activities, or responsibilities of another entity on behalf of a third party or specific purpose.
  • D. supervisedBody chosen
    Indicates that one entity has oversight, direction, or management authority over the activities or behavior of another entity.
  • E. preparationSupervisedBy
    Indicates that the preparation of something is carried out under the oversight or direction of a supervising entity.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c706d1f0208190bc5b695aa5736244 completed March 27, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69c70163dea88190ae729df50e63dfd7 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:02 p.m.