Triple

T20790723
Position Surface form Disambiguated ID Type / Status
Subject Daniel Taplitz E511766 entity
Predicate notableWork P4 FINISHED
Object Red Dog 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: Red Dog | Statement: [Daniel Taplitz, notableWork, Red Dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Dog
Context triple: [Daniel Taplitz, notableWork, Red Dog]
  • A. Red Dog chosen
    Red Dog is a 2011 Australian comedy-drama film based on the true story of a wandering kelpie that unites a remote mining community in Western Australia.
  • B. Red Dog
    "Red Dog" is a short story by Rudyard Kipling featuring Mowgli’s perilous battle against a deadly pack of dholes in the Indian jungle.
  • C. Red Dog Howls
    Red Dog Howls is a stage play by Alexander Dinelaris Jr. that explores themes of family, identity, and the legacy of the Armenian Genocide.
  • D. The Red Dogs
    The Red Dogs is the popular nickname of Romanian football club Dinamo București, one of the country's most successful and passionately supported teams.
  • E. Thunder Dog
    Thunder Dog is the costumed canine mascot of the Wichita Thunder professional ice hockey team, entertaining fans at games and events.
  • 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_69e0b4cb83948190bd57bec21d78ed53 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c29010508190bf2cf577d7f64754 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.