Triple

T20177510
Position Surface form Disambiguated ID Type / Status
Subject Bam Margera E492638 entity
Predicate notableWork P4 FINISHED
Object Viva La Bam NE NERFINISHED

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: Viva La Bam | Statement: [Bam Margera, notableWork, Viva La Bam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viva La Bam
Context triple: [Bam Margera, notableWork, Viva La Bam]
  • A. Viva La Bam chosen
    Viva La Bam is an MTV reality television series following Bam Margera and his crew as they carry out elaborate pranks, stunts, and chaotic challenges centered around his life and family.
  • B. B.A.M.
    B.A.M. is a music producer known for contributing to Mary J. Blige’s album "Strength of a Woman."
  • C. Big Bam Boom
    Big Bam Boom is a 1984 pop-rock album by Hall & Oates that showcases their polished, synth-driven sound and includes the hit single "Out of Touch."
  • D. Voice of Bam
    Voice of Bam is a character from the "What Where" universe, known for its distinctive vocal presence and role in conveying key narrative elements.
  • E. Biker Boyz
    Biker Boyz is a 2003 action-drama film centered on rival African-American motorcycle clubs and underground street racing culture in California.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ec4d7c81909fa4bdc58ed54aeb completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.