Triple

T19858191
Position Surface form Disambiguated ID Type / Status
Subject John E477188 entity
Predicate hasDiminutive P456 FINISHED
Object Jock NE NERFINISHED

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: Jock | Statement: [John, hasDiminutive, Jock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jock
Context triple: [John, hasDiminutive, Jock]
  • A. Jock chosen
    Jock is a diminutive form of the given name John, traditionally used in Scotland.
  • B. Jock
    Jock is a British comic book artist renowned for his gritty, dynamic artwork on titles such as The Losers, Judge Dredd, and various Batman series.
  • C. Jock
    Jock is a loyal and protective Scottish Terrier who serves as one of Lady’s close canine friends in Disney’s animated film "Lady and the Tramp."
  • D. Jocko
    Jocko is a fictional character from the film "Red Dog," appearing as part of the story surrounding the legendary Australian kelpie.
  • E. Buckie
    Buckie is a coastal fishing town on the Moray Firth in northeastern Scotland, known historically for its boatbuilding and maritime industries.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6586dbbf0819089e7157d416aeaaf completed April 20, 2026, 4:46 p.m.
Created at: April 10, 2026, 1:51 p.m.