Triple

T2666096
Position Surface form Disambiguated ID Type / Status
Subject Billie Burke E55638 entity
Predicate appearedIn P795 FINISHED
Object Topper Takes a Trip E175888 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: Topper Takes a Trip | Statement: [Billie Burke, appearedIn, Topper Takes a Trip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Topper Takes a Trip
Context triple: [Billie Burke, appearedIn, Topper Takes a Trip]
  • A. Topper (film series) chosen
    Topper is a classic American comedy film series from the late 1930s and early 1940s, centered on a stuffy banker whose life is upended by the mischievous ghosts of a fun-loving couple.
  • B. Tootsie
    Tootsie is a 1982 American comedy film in which Dustin Hoffman plays an out-of-work actor who disguises himself as a woman to land a role, leading to unexpected fame and complications.
  • C. Topsy-Turvy
    Topsy-Turvy is a 1999 British period musical drama film directed by Mike Leigh that explores the creation of Gilbert and Sullivan’s comic opera The Mikado.
  • D. Kiddyland
    Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
  • E. Stiltsville
    Stiltsville is a historic collection of wooden stilt houses built over the shallow waters of Biscayne Bay near Miami, Florida.
  • 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_69ab49e54de48190be708cd1cf8be073 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd97040e48190b0a87489f108810e completed March 7, 2026, 7:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf5115648190bf1c66882410642d completed March 10, 2026, 5:42 a.m.
Created at: March 6, 2026, 9:54 p.m.