Triple

T20957687
Position Surface form Disambiguated ID Type / Status
Subject Jokerman E516144 entity
Predicate musicVideoDirector P4911 FINISHED
Object Larry Sloman 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: Larry Sloman | Statement: [Jokerman, musicVideoDirector, Larry Sloman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Sloman
Context triple: [Jokerman, musicVideoDirector, Larry Sloman]
  • A. Larry Sloman chosen
    Larry Sloman is an American author and journalist known for his collaborations on high-profile memoirs and books with figures in music, comedy, and sports.
  • B. Don Blum
    Don Blum is an American rock drummer best known for his work with the Detroit garage rock band The Von Bondies.
  • C. Carl Shulman
    Carl Shulman is a researcher and thinker known for his work on existential risk, AI alignment, and long-term future strategy, particularly through his role at Oxford’s Future of Humanity Institute.
  • D. Vern Schillinger
    Vern Schillinger is a fictional white supremacist prison leader and one of the primary antagonists on the HBO series "Oz," portrayed by actor J.K. Simmons.
  • E. Milton Shifman
    Milton Shifman was a film editor known for his work on mid-20th-century American movies, including adventure films such as "The Sword of Ali Baba."
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6c2f1481908360fb86d2b6a8e4 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:28 p.m.