Triple

T17876467
Position Surface form Disambiguated ID Type / Status
Subject Binky Barnes E446965 entity
Predicate appearsOnNetwork P833 FINISHED
Object PBS Kids 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: PBS Kids | Statement: [Binky Barnes, appearsOnNetwork, PBS Kids]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PBS Kids
Context triple: [Binky Barnes, appearsOnNetwork, PBS Kids]
  • A. PBS Kids Sprout
    PBS Kids Sprout was a U.S. cable television network focused on preschool children's programming, later rebranded as Universal Kids.
  • B. PBS Kids (US TV series) chosen
    PBS Kids is an American children's television programming block and brand known for broadcasting educational and entertaining series for young audiences.
  • C. ABC Kids
    ABC Kids is an Australian children’s television channel and programming block operated by the ABC, known for broadcasting popular preschool series such as Bluey.
  • D. PBS
    PBS is a U.S. federal agency component responsible for managing and providing government office space and real property for civilian agencies.
  • E. PBS
    PBS is a U.S. public television network known for educational, scientific, and cultural programming.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.