Triple

T12685232
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Arend E303048 entity
Predicate appearedIn P795 FINISHED
Object The Ringer E631049 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 Ringer | Statement: [Geoffrey Arend, appearedIn, The Ringer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Ringer
Context triple: [Geoffrey Arend, appearedIn, The Ringer]
  • A. The Ringer
    The Ringer is a popular crime thriller by Edgar Wallace featuring a mysterious master of disguise who returns to London to exact revenge.
  • B. The Ringer chosen
    The Ringer is a 2005 comedy film in which Johnny Knoxville pretends to be intellectually disabled in order to rig the Special Olympics, leading to unexpected friendships and moral lessons.
  • C. The Ringer
    The Ringer is a sports and pop culture website and podcast network founded by writer and commentator Bill Simmons.
  • D. Grantland
    Grantland was a long-form sports and pop culture website founded by sportswriter Bill Simmons and owned by ESPN.
  • E. Deadspin
    Deadspin is a sports and culture website known for its irreverent commentary, investigative reporting, and critical coverage of athletes, media, and fandom.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d7cd4c81909521839ef5859799 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c7a79908190b83a868090990bbe completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:21 p.m.