Triple

T695103
Position Surface form Disambiguated ID Type / Status
Subject Finding Forever E13877 entity
Predicate hasTrack P3284 FINISHED
Object The Game E65586 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 Game | Statement: [Finding Forever, hasTrack, The Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Game
Context triple: [Finding Forever, hasTrack, The Game]
  • A. The Game chosen
    The Game is an American rapper from Compton, California, known for his role in revitalizing West Coast hip hop in the mid-2000s and his association with Dr. Dre and G-Unit.
  • B. Smash
    Smash is an American musical drama television series that follows the creation of a Broadway show about Marilyn Monroe, featuring Jennifer Hudson in a prominent role.
  • C. Rage
    Rage is a nonfiction book by investigative journalist Bob Woodward that examines the Trump presidency through interviews, insider accounts, and analysis of key events.
  • D. Two Can Play That Game
    Two Can Play That Game is a 2001 romantic comedy film about modern dating mind games, starring Vivica A. Fox and Morris Chestnut.
  • E. Streets of Philadelphia
    "Streets of Philadelphia" is a 1993 song by Bruce Springsteen, best known for its haunting, introspective portrayal of isolation and its Academy Award–winning role in the film "Philadelphia."
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0c3f39c8190a3014df428817492 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca9aa9c8190a113e782988aa7f8 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.