Triple

T16815889
Position Surface form Disambiguated ID Type / Status
Subject Steven Kellogg E408746 entity
Predicate name P16 FINISHED
Object Steven Kellogg 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: Steven Kellogg | Statement: [Steven Kellogg, name, Steven Kellogg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steven Kellogg
Context triple: [Steven Kellogg, name, Steven Kellogg]
  • A. Steven Kellogg chosen
    Steven Kellogg is an American author and illustrator best known for his humorous and detailed picture books for children, including the popular Pinkerton series.
  • B. Paul Kellogg
    Paul Kellogg was an American opera administrator and impresario best known for his influential leadership roles at major U.S. opera companies, where he championed innovative productions and contemporary works.
  • C. Michael Kelbaugh
    Michael Kelbaugh is a video game producer and longtime Nintendo collaborator best known for his leadership at Retro Studios on major titles in the Donkey Kong Country series.
  • D. John Kiffmeyer
    John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
  • E. Steven Kemper
    Steven Kemper is a film editor known for his work on action and genre movies, including the 2010 supernatural action film "Legion."
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e1de908190aa3508770fb865cf completed April 18, 2026, 4:35 p.m.
Created at: April 10, 2026, 5:23 a.m.