Triple

T29580923
Position Surface form Disambiguated ID Type / Status
Subject Estate of Isaac Asimov E753578 entity
Predicate associatedWithOccupationOfSubject P83547 FINISHED
Object science fiction author 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: science fiction author | Statement: [Estate of Isaac Asimov, associatedWithOccupationOfSubject, science fiction author]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithOccupationOfSubject
Context triple: [Estate of Isaac Asimov, associatedWithOccupationOfSubject, science fiction author]
  • A. associatedWithCareerOf
    Indicates a relationship where something is connected or relevant to a person’s professional life, occupation, or career trajectory.
  • B. occupationalAssociation
    Indicates a relationship where one entity is connected to another through a job, profession, or work-related role.
  • C. associatedWithWorkOf
    Indicates that one entity has a connection or involvement with the work, creation, or output produced by another entity.
  • D. associatedWithSubject
    Indicates a general relationship or connection between an entity and a subject, without specifying the exact nature of that association.
  • E. occupationOfAssociatedPerson chosen
    Indicates the job or professional role held by a person who is associated with another referenced 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_69f0ef80bf8c8190ad286e99f7df0c63 completed April 28, 2026, 5:33 p.m.
NER Named-entity recognition batch_6a037c876524819098545e6037d3107d completed May 12, 2026, 7:16 p.m.
PD Predicate disambiguation batch_6a0379e0f3d88190a4ee7b0673f1ef90 completed May 12, 2026, 7:05 p.m.
Created at: April 28, 2026, 6:06 p.m.