Triple

T21643307
Position Surface form Disambiguated ID Type / Status
Subject A Few Quick Ones E534149 entity
Predicate featuresCharacter P626 FINISHED
Object Freddie Widgeon 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: Freddie Widgeon | Statement: [A Few Quick Ones, featuresCharacter, Freddie Widgeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freddie Widgeon
Context triple: [A Few Quick Ones, featuresCharacter, Freddie Widgeon]
  • A. Freddie Widgeon chosen
    Freddie Widgeon is a hapless, romantically unlucky young member of P. G. Wodehouse’s Drones Club who frequently appears in comic misadventures.
  • B. Freddie the Falcon
    Freddie the Falcon is the costumed athletic mascot representing Fairmont State University’s sports teams and school spirit.
  • C. Dickie Bird
    Dickie Bird is a renowned former English cricket umpire celebrated for officiating numerous high-profile international matches and World Cup finals.
  • D. Ray Teal
    Ray Teal was an American character actor best known for his prolific work in mid-20th-century film and television, including numerous Westerns and supporting roles in major Hollywood productions.
  • E. Freddie Bullivant
    Freddie Bullivant is the central character of the show "Fixing it for Freddie," around whom the series’ stories and events revolve.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef53930644819086b0f499e1b8ae63 completed April 27, 2026, 12:16 p.m.
Created at: April 16, 2026, 6:35 p.m.