Triple

T22810635
Position Surface form Disambiguated ID Type / Status
Subject Tommy Swerdlow E564661 entity
Predicate workedOn P3 FINISHED
Object Snow Dogs — 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: Snow Dogs | Statement: [Tommy Swerdlow, workedOn, Snow Dogs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snow Dogs
Context triple: [Tommy Swerdlow, workedOn, Snow Dogs]
  • A. Snow Dogs chosen
    Snow Dogs is a 2002 family comedy film in which a Miami dentist unexpectedly inherits a team of sled dogs in Alaska, leading to a series of fish-out-of-water adventures.
  • B. Thunder Dog
    Thunder Dog is the costumed canine mascot of the Wichita Thunder professional ice hockey team, entertaining fans at games and events.
  • C. 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.
  • D. 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.
  • E. A Man and His Dogs
    A Man and His Dogs is a British documentary series in which actor Martin Clunes travels the world exploring the history, diversity, and relationship between humans and domestic dogs.
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17d60186881908f6cb609c536dc91 completed April 29, 2026, 3:39 a.m.
Created at: April 17, 2026, 3:32 p.m.