Triple

T36152571
Position Surface form Disambiguated ID Type / Status
Subject Second Strike E1045629 entity
Predicate partOfAuthorSpecialty P140458 FINISHED
Object naval and submarine thrillers by Richard P. Henrick 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: naval and submarine thrillers by Richard P. Henrick | Statement: [Second Strike, partOfAuthorSpecialty, naval and submarine thrillers by Richard P. Henrick]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partOfAuthorSpecialty
Context triple: [Second Strike, partOfAuthorSpecialty, naval and submarine thrillers by Richard P. Henrick]
  • A. subjectSpecialization chosen
    Indicates that one subject focuses on, or has expertise in, a particular field, topic, or area of knowledge.
  • B. isConsideredSpecialtyOf
    Indicates that one field, practice, or area of expertise is regarded as a specialized branch or subset of another broader field.
  • C. disciplineOfRecord
    Indicates the specific field, subject area, or branch of knowledge in which something is formally recorded or recognized.
  • D. studiedInSubdiscipline
    Indicates that an entity pursued study or academic work within a specific subdiscipline of a broader field.
  • E. regionOfStudy
    Indicates the academic or research area that is the focus of someone’s study or investigation.
  • 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_69f76e38903c8190a52887620f90aabe completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_6a00c8e617548190bba4cdfbb6f512e0 completed May 10, 2026, 6:05 p.m.
PD Predicate disambiguation batch_6a00c7e816b88190bd40f5ea2a768c8b completed May 10, 2026, 6:01 p.m.
Created at: May 3, 2026, 4:08 p.m.