Triple

T17224071
Position Surface form Disambiguated ID Type / Status
Subject Randy Feenstra E418064 entity
Predicate precededBy P97 FINISHED
Object Steve King E380129 NE FINISHED

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: Steve King | Statement: [Randy Feenstra, precededBy, Steve King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve King
Context triple: [Randy Feenstra, precededBy, Steve King]
  • A. Steve King chosen
    Steve King is a former Republican U.S. Representative from Iowa known for his hardline conservative positions and controversial remarks on immigration and race.
  • B. Steve King
    Steve King is a recording engineer and producer best known for his work on Eminem’s albums, including the Grammy-winning "The Eminem Show."
  • C. Stephen King
    Stephen King is a prolific American author renowned for his horror, supernatural fiction, suspense, and fantasy novels, many of which have been adapted into successful films and television series.
  • D. Rex Koontz
    Rex Koontz is an art historian and scholar specializing in ancient Mesoamerican art and archaeology, known for his collaborative work on influential studies of pre-Columbian cultures.
  • E. Dean Koontz
    Dean Koontz is a bestselling American author known for his suspenseful thrillers that blend horror, mystery, and science fiction elements.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddfe3bc8190b22cee4fc0590b74 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0167596ab481909df59ce68c7f640e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.