Triple

T1072647
Position Surface form Disambiguated ID Type / Status
Subject Ken Dryden E23363 entity
Predicate wrote P2831 FINISHED
Object The Game E88123 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: [Ken Dryden, wrote, The Game]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Game
Context triple: [Ken Dryden, wrote, The Game]
  • A. The Game
    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. The Game chosen
    The Game is a 1997 psychological thriller film directed by David Fincher, starring Michael Douglas as a wealthy banker drawn into a mysterious and increasingly dangerous real-life "game."
  • C. 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.
  • D. Grillz
    "Grillz" is a 2005 hip hop single by Nelly featuring Paul Wall, Ali & Gipp, known for popularizing jeweled dental grills in mainstream culture.
  • E. Cry
    "Cry" is a song by James Blunt from his debut studio album, Back to Bedlam.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b92afad88190b7705923f71fc760 completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42a9af14819091d4f2578c6b1c02 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.