Triple

T10049488
Position Surface form Disambiguated ID Type / Status
Subject Shar Jackson E207708 entity
Predicate filmAppearance P795 FINISHED
Object Love & Basketball E161178 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: Love & Basketball | Statement: [Shar Jackson, filmAppearance, Love & Basketball]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love & Basketball
Context triple: [Shar Jackson, filmAppearance, Love & Basketball]
  • A. Love & Basketball chosen
    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.
  • B. Hoops
    Hoops is a television series associated with producer and manager Michael Rotenberg.
  • C. Dear Basketball
    Dear Basketball is an Academy Award–winning animated short film based on Kobe Bryant’s poetic farewell to the sport.
  • D. Ballers
    Ballers is an American comedy-drama television series that follows the lives of current and former NFL players, focusing on the off-field challenges of sports, business, and fame.
  • E. Sacred Hoops
    Sacred Hoops is a book by legendary NBA coach Phil Jackson that explores the spiritual and philosophical principles behind his approach to basketball and leadership.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8e41c4819091fa12742197e207 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2829674f08190b5f9c3b984106469 completed April 5, 2026, 3:41 p.m.
Created at: March 30, 2026, 8:56 p.m.