Triple

T6663160
Position Surface form Disambiguated ID Type / Status
Subject Kristin Gore E151524 entity
Predicate directed P7373 FINISHED
Object The Beanie Bubble E608735 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: The Beanie Bubble | Statement: [Kristin Gore, directed, The Beanie Bubble]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Beanie Bubble
Context triple: [Kristin Gore, directed, The Beanie Bubble]
  • A. The Beanie Bubble chosen
    The Beanie Bubble is a 2023 comedy-drama film co-written and co-directed by Kristin Gore that explores the rise and fall of the Beanie Babies craze of the 1990s.
  • B. The Bubble
    The Bubble is a recording studio and music production facility co-founded by producer and engineer Frenchie Smith, known for its work with rock and alternative artists.
  • C. The Bubble Factory
    The Bubble Factory is an American film production company known for producing Hollywood movies in the 1990s and 2000s.
  • D. Bubbles
    Bubbles is a resourceful, drug-addicted police informant in the television series "The Wire," known for his street smarts, moral complexity, and poignant personal struggles.
  • E. Bubbles
    Bubbles is a famous late-19th-century painting by John Everett Millais, best known for its sentimental depiction of a young boy blowing soap bubbles.
  • 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_69c687f5fac48190a09e4838d9c6b45d completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b09a6fa88190ba8e454b9ad421a0 completed March 27, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79cf0e48190a69294f3b13a8372 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:02 p.m.