Triple

T19665352
Position Surface form Disambiguated ID Type / Status
Subject Infidels E472184 entity
Predicate notableSong P4 FINISHED
Object Jokerman 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: Jokerman | Statement: [Infidels, notableSong, Jokerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jokerman
Context triple: [Infidels, notableSong, Jokerman]
  • A. Jokerman chosen
    "Jokerman" is a 1983 Bob Dylan song, known for its enigmatic, biblical- and political-tinged lyrics and prominent place in his live performances.
  • B. Joker Moon
    "Joker Moon" is a science fiction mosaic novel set in the shared Wild Cards universe, exploring the lives of superpowered individuals in an alternate-history Earth shaped by an alien virus.
  • C. Strangeways
    Strangeways is an inner-city area of Manchester, England, best known for housing HM Prison Manchester and its historic industrial and commercial sites.
  • D. Dear No One
    "Dear No One" is a soulful pop-R&B song by Tori Kelly that gained widespread recognition for its intimate lyrics about independence and self-love.
  • E. Junkie
    "Junkie" is a semi-autobiographical novel by William S. Burroughs that offers a stark, firsthand portrayal of drug addiction and urban underworld life, and is considered an early landmark of the Beat Generation.
  • 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_69d8e514f2e08190ba70a4449519d218 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6416857c88190acb3adbf3e585fe5 completed April 20, 2026, 3:08 p.m.
Created at: April 10, 2026, 1:45 p.m.