Triple

T15599449
Position Surface form Disambiguated ID Type / Status
Subject Josh Flitter E374991 entity
Predicate notableWork P4 FINISHED
Object Snow Buddies E844673 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: Snow Buddies | Statement: [Josh Flitter, notableWork, Snow Buddies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snow Buddies
Context triple: [Josh Flitter, notableWork, Snow Buddies]
  • A. Snow Buddies chosen
    Snow Buddies is a family-friendly Disney direct-to-video film in the Air Buddies franchise that follows a group of talking golden retriever puppies on a snowy Alaskan adventure.
  • B. Snow Wonder
    Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
  • C. Snowlets
    Snowlets are the four snowy owl mascots created to represent the 1998 Winter Olympics in Nagano, Japan.
  • D. Snowman
    Snowman is the post-apocalyptic survivor and narrator of Margaret Atwood’s dystopian novel "Oryx and Crake," through whose perspective the story’s ruined world and its origins are revealed.
  • E. Snowgoons
    Snowgoons are a German hip hop production team known for their dark, orchestral boom-bap sound and collaborations with numerous underground rap artists worldwide.
  • 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_69d85cce25008190b13b52745fbd719b completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e621fc4819097e8e85e7ddfdc6c completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff56ccc40c8190a3b1339404e6897f completed May 9, 2026, 3:46 p.m.
Created at: April 10, 2026, 4:12 a.m.