Triple

T16878790
Position Surface form Disambiguated ID Type / Status
Subject Muse Sick-n-Hour Mess Age E421363 entity
Predicate followedBy P78 FINISHED
Object He Got Game E154884 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: He Got Game | Statement: [Muse Sick-n-Hour Mess Age, followedBy, He Got Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: He Got Game
Context triple: [Muse Sick-n-Hour Mess Age, followedBy, He Got Game]
  • A. He Got Game chosen
    He Got Game is a 1998 sports drama film written and directed by Spike Lee that explores the complex relationship between a high school basketball star and his incarcerated father amid the pressures of fame, family, and the college recruitment system.
  • B. For Love of the Game
    For Love of the Game is a 1999 sports drama film starring Kevin Costner as an aging baseball pitcher reflecting on his life and career during what may be his final game.
  • C. Talk a Good Game
    Talk a Good Game is the third studio album by American singer Kelly Rowland, showcasing her R&B sound with themes of love, empowerment, and personal growth.
  • D. Hoops
    Hoops is a television series associated with producer and manager Michael Rotenberg.
  • E. Hoops
    Hoops is a basketball-inspired game mode in Rocket League where players score by shooting the ball into elevated hoops instead of traditional soccer goals.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f9aea0819090aef3c0c1ad349d completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b684108190928afb0a2d1af038 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.