Triple

T20620621
Position Surface form Disambiguated ID Type / Status
Subject Flicka E506687 entity
Predicate hasSequel P1961 FINISHED
Object Flicka: Country Pride NE NERFINISHED

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: Flicka: Country Pride | Statement: [Flicka, hasSequel, Flicka: Country Pride]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flicka: Country Pride
Context triple: [Flicka, hasSequel, Flicka: Country Pride]
  • A. Flicka 2 chosen
    Flicka 2 is a 2006 direct-to-video family drama film and sequel to the horse-themed movie Flicka, following a new story of a young girl and her bond with a spirited mustang.
  • B. Flicka
    Flicka is a 2006 family drama film about a teenage girl and her bond with a wild mustang, adapted from the classic novel "My Friend Flicka."
  • C. Barnyard
    Barnyard is a 2006 animated comedy film featuring talking farm animals, produced by Nickelodeon Movies.
  • D. The Barnyard
    The Barnyard is the energetic student cheering section for the University of Minnesota Golden Gophers men's basketball team.
  • E. Appaloosa
    Appaloosa is a Western novel by Robert B. Parker that follows two lawmen hired to bring order to a violent frontier town.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe19ca481908c896bec49a025cd completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.