Triple

T10728100
Position Surface form Disambiguated ID Type / Status
Subject The Book of Bebb E253002 entity
Predicate hasCharacter P2308 FINISHED
Object Leo Bebb E887155 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: Leo Bebb | Statement: [The Book of Bebb, hasCharacter, Leo Bebb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leo Bebb
Context triple: [The Book of Bebb, hasCharacter, Leo Bebb]
  • A. Leo Bebb chosen
    Leo Bebb is a charismatic, morally ambiguous evangelist and con man who serves as the complex, central figure in Frederick Buechner’s "The Book of Bebb" novels.
  • B. Charles Bebb
    Charles Bebb was a prominent early 20th-century American architect based in Seattle, known for helping shape the city's skyline through major commercial and landmark buildings.
  • C. Maurice Denham
    Maurice Denham was an English character actor known for his extensive work in film, television, and radio from the mid-20th century onward.
  • D. Roy Budd
    Roy Budd was a British jazz pianist and film composer best known for his iconic scores to movies such as "Get Carter" and other 1970s and 1980s thrillers.
  • E. Marshall Neilan
    Marshall Neilan was an influential American film director, actor, and screenwriter of the silent era, known for his work with stars like Mary Pickford and for helping shape early Hollywood cinema.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fc92a18819089cc67afee1c9b96 completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff777c63c8190a989d33e8460bc2f completed April 15, 2026, 8:39 p.m.
Created at: April 8, 2026, 9:14 p.m.