Triple

T12928520
Position Surface form Disambiguated ID Type / Status
Subject Lumpy Space Princess E309307 entity
Predicate friendOf P8712 FINISHED
Object Jake the Dog E309302 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: Jake the Dog | Statement: [Lumpy Space Princess, friendOf, Jake the Dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jake the Dog
Context triple: [Lumpy Space Princess, friendOf, Jake the Dog]
  • A. Jake the Dog chosen
    Jake the Dog is a magical, shape-shifting dog and one of the two main protagonists of the animated television series Adventure Time.
  • B. Piper the Dog
    Piper the Dog is the costumed canine mascot representing Hamline University at its athletic events and campus activities.
  • C. Jack the dog
    Jack the dog is a fictional canine character appearing in the animated television series "The Artist."
  • D. Jake the Peg
    "Jake the Peg" is a novelty song and comedic performance piece, popularized by entertainer Rolf Harris, about a man humorously claiming to have an extra leg.
  • E. Danny Dog
    Danny Dog is a playful, friendly puppy character from the children's animated series "Peppa Pig," known for his love of pirates and adventure.
  • 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971ec72a48190aceef10630603d2c completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0d12cd88190b6e205ad98296ed9 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 5:42 p.m.