Triple

T11991921
Position Surface form Disambiguated ID Type / Status
Subject Alexander Dinelaris Jr. E285425 entity
Predicate notableWork P4 FINISHED
Object Red Dog Howls E958510 NE 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: Red Dog Howls | Statement: [Alexander Dinelaris Jr., notableWork, Red Dog Howls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Red Dog Howls
Context triple: [Alexander Dinelaris Jr., notableWork, Red Dog Howls]
  • A. Red Dog Howls chosen
    Red Dog Howls is a stage play by Alexander Dinelaris Jr. that explores themes of family, identity, and the legacy of the Armenian Genocide.
  • B. Red Dog
    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.
  • C. 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.
  • D. Thunder Dog
    Thunder Dog is the costumed canine mascot of the Wichita Thunder professional ice hockey team, entertaining fans at games and events.
  • E. Mad Dogs
    Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f48abcf2588190a44e6e31e045b356 completed May 1, 2026, 11:13 a.m.
Created at: April 8, 2026, 9:46 p.m.