Triple

T11624615
Position Surface form Disambiguated ID Type / Status
Subject Len Garry E276230 entity
Predicate name P16 FINISHED
Object Len Garry E276230 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: Len Garry | Statement: [Len Garry, name, Len Garry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Len Garry
Context triple: [Len Garry, name, Len Garry]
  • A. Len Garry chosen
    Len Garry is a British musician best known as the original tea-chest bass player in The Quarrymen, the skiffle group that evolved into The Beatles.
  • B. Steve Gainer
    Steve Gainer is an American cinematographer known for his work on feature films, television series, and music videos.
  • C. Jay Gorney
    Jay Gorney was an American composer best known for writing socially conscious songs for Broadway and film, including the music for the classic Depression-era anthem "Brother, Can You Spare a Dime?"
  • D. Dan Garrett
    Dan Garrett is a Golden Age comic book superhero who originally operated as the first Blue Beetle, a costumed crimefighter empowered by a mystical scarab in later iterations.
  • E. Garry Leach
    Garry Leach was a British comic book artist and inker best known for his influential work on characters like Marvelman (Miracleman) and his contributions to 1980s UK comics.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a12416908190ac2dcd7f7ebb308f completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1661bb6f48190a5b613ad99154242 completed April 29, 2026, 1:59 a.m.
Created at: April 8, 2026, 9:39 p.m.