Triple

T21779012
Position Surface form Disambiguated ID Type / Status
Subject The Tale of Ginger and Pickles E537657 entity
Predicate mainCharacter P1183 FINISHED
Object Pickles 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: Pickles | Statement: [The Tale of Ginger and Pickles, mainCharacter, Pickles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pickles
Context triple: [The Tale of Ginger and Pickles, mainCharacter, Pickles]
  • A. Pickles chosen
    Pickles is a character from Beatrix Potter’s children’s stories, known as a friendly terrier who runs a village shop and appears alongside Tabitha Twitchit and other animal characters.
  • B. Pickles
    Pickles is the nickname of Marc-Édouard Vlasic, a Canadian professional ice hockey defenseman known for his long NHL career, primarily with the San Jose Sharks.
  • C. Dil Pickles
    Dil Pickles is the baby brother of Tommy Pickles in the animated television series "Rugrats," known for his infant babbling and comedic mischief.
  • D. Capers
    Capers is a surname most notably associated with Dom Capers, an American football coach known for his roles as an NFL head coach and defensive coordinator.
  • E. Pickle
    Pickle is a surname most notably associated with Jake Pickle, a long-serving U.S. Congressman from Texas.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462bde288190beef8c4388949132 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.