Triple

T21381643
Position Surface form Disambiguated ID Type / Status
Subject Mary Matthews E527372 entity
Predicate spouse P13 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: [Mary Matthews, spouse, Grant Matthews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grant Matthews
Context triple: [Mary Matthews, spouse, 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_69e0b51f363c8190944000ab5523b02b completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0cf89f08190bd7c0d552232d948 completed April 22, 2026, 11:28 a.m.
Created at: April 16, 2026, 5:12 p.m.