Triple

T9853389
Position Surface form Disambiguated ID Type / Status
Subject Forky E239525 entity
Predicate associatedWith P37 FINISHED
Object Bo Peep E238796 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: Bo Peep | Statement: [Forky, associatedWith, Bo Peep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo Peep
Context triple: [Forky, associatedWith, Bo Peep]
  • A. Bo Peep chosen
    Bo Peep is a porcelain shepherdess doll from the Toy Story franchise who evolves into a resourceful, independent leader of lost toys.
  • B. Cindy Lou Who
    Cindy Lou Who is the kind-hearted little girl from Dr. Seuss's "How the Grinch Stole Christmas!" whose innocence and compassion help transform the Grinch.
  • C. Woody's steed
    Bullseye is the loyal toy horse from the Toy Story franchise who serves as Woody’s faithful companion and mount.
  • D. Flik
    Flik is the inventive and well-meaning ant protagonist of Pixar's animated film "A Bug's Life."
  • E. Pigwidgeon
    Pigwidgeon is Ron Weasley's tiny, hyperactive owl in the Harry Potter series, known for his enthusiasm and somewhat annoying exuberance.
  • 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_69ca84e4fdc08190a624425bcef98665 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb376d32c819089381cf6ed83629d completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5ee190c8190957451d8d8291df3 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.