Triple

T12171433
Position Surface form Disambiguated ID Type / Status
Subject Hotboxin' with Mike Tyson E289974 entity
Predicate notableGuest P10756 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: [Hotboxin' with Mike Tyson, notableGuest, Joe Rogan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Rogan
Context triple: [Hotboxin' with Mike Tyson, notableGuest, 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_69d6ab4d6c00819095a9a7c35de83cfb completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915d9659481909c75b12aa836bbf3 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f6a6de3081908e5e0030c081d5a4 completed May 2, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:50 p.m.