Triple

T8315110
Position Surface form Disambiguated ID Type / Status
Subject Andy Dufresne E194686 entity
Predicate providesServiceTo P82 FINISHED
Object Warden Samuel Norton E209176 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: Warden Samuel Norton | Statement: [Andy Dufresne, providesServiceTo, Warden Samuel Norton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warden Samuel Norton
Context triple: [Andy Dufresne, providesServiceTo, Warden Samuel Norton]
  • A. Warden Samuel Norton chosen
    Warden Samuel Norton is the corrupt, Bible-quoting prison administrator who serves as the primary antagonist in the film "The Shawshank Redemption."
  • B. Samuel Blatchford
    Samuel Blatchford was an Associate Justice of the U.S. Supreme Court in the late 19th century, known for his expertise in admiralty and patent law.
  • C. Nathaniel Motte
    Nathaniel Motte is an American musician, producer, and member of the electronic music duo 3OH!3.
  • D. Josiah Winslow
    Josiah Winslow was a 17th-century colonial governor of Plymouth Colony who served as a leading English military commander during King Philip's War.
  • E. Ebenezer Francis
    Ebenezer Francis was an American businessman best known as the founder of the Boston-based financial services company State Street Corporation.
  • 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_69ca82e6e2648190a31eaf6f4f757b2a completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f540b2081908ccb1b2ed040c74e completed March 31, 2026, 8:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd9583fa8081909778288f4c96de72 completed April 1, 2026, 10 p.m.
Created at: March 30, 2026, 5:55 p.m.