Triple

T12213938
Position Surface form Disambiguated ID Type / Status
Subject Glen Keane E291034 entity
Predicate directed P7373 FINISHED
Object Dear Basketball E162898 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: Dear Basketball | Statement: [Glen Keane, directed, Dear Basketball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dear Basketball
Context triple: [Glen Keane, directed, Dear Basketball]
  • A. Dear Basketball chosen
    Dear Basketball is an Academy Award–winning animated short film based on Kobe Bryant’s poetic farewell to the sport.
  • B. Basketball: A Love Story
    Basketball: A Love Story is a comprehensive documentary and oral history project that explores the evolution, culture, and iconic figures of basketball through a wide range of interviews and stories.
  • C. Mozart of Basketball
    Mozart of Basketball is the celebrated nickname of Croatian basketball legend Dražen Petrović, renowned for his extraordinary skill, creativity, and artistry on the court.
  • D. Love & Basketball
    Love & Basketball is a 2000 romantic drama film that follows two childhood friends whose shared passion for basketball intertwines with their evolving love story over the years.
  • E. The Book of Basketball
    The Book of Basketball is a comprehensive, opinionated history and analysis of the NBA written by sportswriter Bill Simmons, blending statistical insight, pop culture references, and fan-centric storytelling.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c931cec819083ca19be06a33e1c completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa13f64819096dc23295a6f0cdb completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.