Triple

T18222570
Position Surface form Disambiguated ID Type / Status
Subject Kay Thorndyke E436341 entity
Predicate influences P9 FINISHED
Object Grant Matthews 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: Grant Matthews | Statement: [Kay Thorndyke, influences, Grant Matthews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant Matthews
Context triple: [Kay Thorndyke, influences, Grant Matthews]
  • A. Grant Matthews chosen
    Grant Matthews is the ambitious, idealistic businessman-turned-presidential-candidate who serves as the central figure in the political drama film "State of the Union."
  • B. Scott Matthews
    Scott Matthews is an English singer-songwriter and guitarist known for his emotive vocals and atmospheric folk-rock compositions.
  • C. John Matthews
    John Matthews is a relatively common personal name shared by numerous individuals across various professions and public roles.
  • D. Denny Matthews
    Denny Matthews is a longtime radio play-by-play announcer best known as the iconic voice of the Kansas City Royals.
  • E. Aaron Ogden
    Aaron Ogden was an early 19th-century American politician and steamboat operator whose state-granted monopoly became the focus of the landmark U.S. Supreme Court case Gibbons v. Ogden, which helped define federal power over interstate commerce.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.