Triple

T20233053
Position Surface form Disambiguated ID Type / Status
Subject Danny Baker E495577 entity
Predicate knownFor P22 FINISHED
Object The Treehouse Podcast 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: The Treehouse Podcast | Statement: [Danny Baker, knownFor, The Treehouse Podcast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Treehouse Podcast
Context triple: [Danny Baker, knownFor, The Treehouse Podcast]
  • A. The Treehouse Podcast chosen
    The Treehouse Podcast is an audio show created and hosted by British broadcaster and writer Danny Baker, known for his humorous, anecdote-filled storytelling and offbeat conversations.
  • B. Treehouse TV
    Treehouse TV is a Canadian television channel specializing in commercial-free preschool programming and animated series for young children.
  • C. Treens
    The Treens are a race of cold, scientifically advanced reptilian aliens from the Venus of the Dan Dare science-fiction comics, often depicted as ruthless and calculating antagonists.
  • D. The Casey Crew podcast
    The Casey Crew podcast is a relationship- and family-focused show hosted by DJ Envy and his wife Gia Casey, where they discuss marriage, parenting, and personal life experiences.
  • E. Wondery
    Wondery is a podcast network and production company known for creating and distributing popular narrative-driven audio series.
  • 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_69da626cff80819097b530718a7c98b6 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e67166d4d081908c4b8eeb66e7e090 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.