Triple

T21594607
Position Surface form Disambiguated ID Type / Status
Subject Artimus Pyle E532865 entity
Predicate name P16 FINISHED
Object Artimus Pyle 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: Artimus Pyle | Statement: [Artimus Pyle, name, Artimus Pyle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Artimus Pyle
Context triple: [Artimus Pyle, name, Artimus Pyle]
  • A. Artimus Pyle chosen
    Artimus Pyle is an American drummer best known for his work with the Southern rock band Lynyrd Skynyrd, particularly during their 1970s heyday.
  • B. Artimus
    Artimus is the given first name of American actor Lamont Bentley, best known for his role as Hakeem Campbell on the sitcom "Moesha."
  • C. Dante Hicks
    Dante Hicks is a beleaguered convenience store clerk and the central everyman protagonist of Kevin Smith’s film "Clerks."
  • D. Barrett Doss
    Barrett Doss is an American actress and singer best known for her starring role as firefighter Victoria Hughes on the television drama series "Station 19."
  • E. Shadow Morton
    Shadow Morton was an American record producer and songwriter best known for his innovative, dramatic work with 1960s girl groups like the Shangri-Las.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae07e388190baf1d67852c7e5db completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.