Triple

T3968473
Position Surface form Disambiguated ID Type / Status
Subject Wedding Crashers E92271 entity
Predicate musicBy P1952 FINISHED
Object Rolfe Kent E241148 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: Rolfe Kent | Statement: [Wedding Crashers, musicBy, Rolfe Kent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rolfe Kent
Context triple: [Wedding Crashers, musicBy, Rolfe Kent]
  • A. Rolfe Kent chosen
    Rolfe Kent is a British film composer best known for his quirky, melodic scores for contemporary comedies and dramas such as "Sideways," "Up in the Air," and "Election."
  • B. Thomas Kent
    Thomas Kent is the male alter ego adopted in disguise by Viola de Lesseps in Shakespeare in Love so she can perform on the Elizabethan stage.
  • C. Ralph Hart
    Ralph Hart is an actor best known for his role on the classic American television sitcom "The Lucy Show."
  • D. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • E. Charles Roane
    Charles Roane is a music producer known for his work on the album "Back to Basics."
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef992d6bc8190be1b244eb87f2964 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54006b5e48190973e30055a0893a5 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.