Triple

T20137273
Position Surface form Disambiguated ID Type / Status
Subject The Trumpet of the Swan E491054 entity
Predicate hasHumanCharacter P12208 FINISHED
Object Sam Beaver 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: Sam Beaver | Statement: [The Trumpet of the Swan, hasHumanCharacter, Sam Beaver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Beaver
Context triple: [The Trumpet of the Swan, hasHumanCharacter, Sam Beaver]
  • A. Sam Beaver chosen
    Sam Beaver is a thoughtful and observant boy who befriends the mute trumpeter swan Louis in E.B. White’s children’s novel "The Trumpet of the Swan."
  • B. Jim Beaver
    Jim Beaver is an American character actor and writer best known for his roles in television series like "Deadwood" and "Supernatural," as well as numerous film appearances.
  • C. Jim Beavers
    Jim Beavers is an American country music songwriter known for penning hits for major artists, including co-writing the song "Drink a Beer."
  • D. Biz E. Beaver
    Biz E. Beaver is the costumed beaver mascot representing Babson College at its athletic events and campus activities.
  • E. Dennis Spooner
    Dennis Spooner was a British television writer and script editor best known for his influential work on early Doctor Who and other popular 1960s adventure and spy series.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6676879f48190a59da04393d2a8cc completed April 20, 2026, 5:50 p.m.
Created at: April 11, 2026, 11:32 p.m.