Triple

T8061596
Position Surface form Disambiguated ID Type / Status
Subject Matthew Lewis E188133 entity
Predicate nameInEnglish P3437 FINISHED
Object Matthew Lewis E153008 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: Matthew Lewis | Statement: [Matthew Lewis, nameInEnglish, Matthew Lewis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matthew Lewis
Context triple: [Matthew Lewis, nameInEnglish, Matthew Lewis]
  • A. Matthew Lewis chosen
    Matthew Lewis is an English actor best known for playing Neville Longbottom in the Harry Potter film series.
  • B. Matthew Lewis
    Matthew Lewis was the father of English Gothic novelist and playwright Matthew Gregory Lewis, best known for his son’s authorship of the novel "The Monk."
  • C. Matthew Aldrich
    Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
  • D. Matthew Rhodes
    Matthew Rhodes is a film producer known for his work on projects such as the psychological thriller "The Voices."
  • E. James Lyons
    James Lyons was an American film editor and occasional screenwriter best known for his frequent collaborations with director Todd Haynes on acclaimed independent films.
  • 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_69ca82b2f68881908c50560697e210da completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3fcd7bcc8190b0a629a813846f13 completed March 31, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc93d44c3481908b6e95ce8c78c602 completed April 1, 2026, 3:41 a.m.
Created at: March 30, 2026, 5:26 p.m.