Triple

T17068157
Position Surface form Disambiguated ID Type / Status
Subject The Comedy Store E414141 entity
Predicate notableComedianAlumni P7128 FINISHED
Object Joe Rogan E914488 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: Joe Rogan | Statement: [The Comedy Store, notableComedianAlumni, Joe Rogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Rogan
Context triple: [The Comedy Store, notableComedianAlumni, Joe Rogan]
  • A. Joe Rogan chosen
    Joe Rogan is an American stand-up comedian, podcast host, and UFC commentator best known for "The Joe Rogan Experience," one of the world’s most popular long-form interview podcasts.
  • B. Bullet Joe Rogan
    Bullet Joe Rogan was an American Negro league baseball star of the early 20th century, renowned as a dominant two-way player (both pitcher and outfielder) and a key figure for the Kansas City Monarchs.
  • C. Tom Rogan
    Tom Rogan is an abusive and controlling husband from Stephen King’s horror novel "It," known for his relationship with Beverly Marsh.
  • D. Theo Von
    Theo Von is an American stand-up comedian and podcast host known for his Southern storytelling style and offbeat, self-deprecating humor.
  • E. Marc Maron
    Marc Maron is an American stand-up comedian, actor, and podcaster best known for his influential podcast "WTF with Marc Maron" and his roles in television and film.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbbeb2a48190a733a4cc829c16de completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0123509e1481908cfc304b02fe8632 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.