Triple

T5588808
Position Surface form Disambiguated ID Type / Status
Subject The Hudsucker Proxy E146824 entity
Predicate character P662 FINISHED
Object Norville Barnes E540563 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: Norville Barnes | Statement: [The Hudsucker Proxy, character, Norville Barnes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norville Barnes
Context triple: [The Hudsucker Proxy, character, Norville Barnes]
  • A. Norville Barnes chosen
    Norville Barnes is the naive yet ambitious mailroom clerk who unexpectedly rises to corporate power in the Coen brothers’ film "The Hudsucker Proxy."
  • B. Harry Brooks
    Harry Brooks was an American jazz pianist and composer best known for co-writing classic standards of the 1920s and 1930s.
  • C. Leon Barmore
    Leon Barmore is a legendary women's college basketball coach best known for leading the Louisiana Tech Lady Techsters to national prominence and multiple NCAA championships.
  • D. Kim Boggs
    Kim Boggs is the compassionate teenage girl who becomes Edward’s love interest and moral anchor in the fantasy film "Edward Scissorhands."
  • E. Walt Willey
    Walt Willey is an American actor best known for his long-running role as attorney Jackson Montgomery on the soap opera "All My Children."
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209e892c8190b936a05ef2a14d36 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.