Triple

T13197064
Position Surface form Disambiguated ID Type / Status
Subject Diane Nguyen E314139 entity
Predicate appearsIn P795 FINISHED
Object BoJack Horseman E315265 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: BoJack Horseman | Statement: [Diane Nguyen, appearsIn, BoJack Horseman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BoJack Horseman
Context triple: [Diane Nguyen, appearsIn, BoJack Horseman]
  • A. BoJack Horseman chosen
    BoJack Horseman is an animated dark comedy television series that follows a washed-up sitcom star who happens to be an anthropomorphic horse, exploring themes of depression, addiction, and the search for meaning in Hollywood.
  • B. Bunny Lebowski
    Bunny Lebowski is a young, hedonistic trophy wife whose apparent kidnapping sets off the convoluted chain of events in the cult film "The Big Lebowski."
  • C. Bizaardvark
    Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
  • D. Magoo
    Magoo was an American rapper best known as one half of the hip hop duo Timbaland & Magoo, active in the late 1990s and early 2000s.
  • E. Hollywood Animal
    Hollywood Animal is a memoir by screenwriter Joe Eszterhas recounting his tumultuous life and career in Hollywood.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f605a48c81909373fcd9dd896b3d completed May 3, 2026, 7:15 a.m.
Created at: April 9, 2026, 9:16 p.m.