Triple

T22325991
Position Surface form Disambiguated ID Type / Status
Subject Steven Sund E551902 entity
Predicate precededBy P97 FINISHED
Object Matthew R. Verderosa 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: Matthew R. Verderosa | Statement: [Steven Sund, precededBy, Matthew R. Verderosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew R. Verderosa
Context triple: [Steven Sund, precededBy, Matthew R. Verderosa]
  • A. Matthew R. Verderosa chosen
    Matthew R. Verderosa is a former Chief of the United States Capitol Police who led the agency responsible for protecting the U.S. Congress and the Capitol complex.
  • B. Matthew C. Lamanna
    Matthew C. Lamanna is an American paleontologist known for his research on Cretaceous dinosaurs and participation in the discovery and description of several notable species.
  • C. Matthew F. Leonetti
    Matthew F. Leonetti is an American cinematographer known for his work on numerous Hollywood films across action, comedy, and science fiction genres.
  • D. Michael Raffetto
    Michael Raffetto was an American radio actor best known for his prominent roles in classic radio dramas during the 1930s and 1940s.
  • E. Andrew Cividino
    Andrew Cividino is a Canadian film and television director best known for his work on the acclaimed comedy series "Schitt's Creek."
  • 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_69e11e482f788190b78d1588fc26d606 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15768696481909be124e86c23d551 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:42 p.m.