Triple

T6044249
Position Surface form Disambiguated ID Type / Status
Subject Hannibal (novel) E134625 entity
Predicate featuresCharacter P626 FINISHED
Object Paul Krendler E549863 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: Paul Krendler | Statement: [Hannibal (novel), featuresCharacter, Paul Krendler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Krendler
Context triple: [Hannibal (novel), featuresCharacter, Paul Krendler]
  • A. Paul Krendler chosen
    Paul Krendler is a corrupt and antagonistic U.S. Justice Department official who serves as a key foil to Clarice Starling in the film "Hannibal."
  • B. Peter Riedler
    Peter Riedler is an Austrian academic and university administrator who serves as rector of the University of Graz.
  • C. Joseph Sonnleithner
    Joseph Sonnleithner was an Austrian librettist, lawyer, and cultural figure best known for writing the original libretto for Beethoven’s opera "Fidelio."
  • D. Paul Knabenshue
    Paul Knabenshue was an American diplomat best known for serving as the first U.S. Ambassador to Iraq in the early 20th century.
  • E. Daniel Knauf
    Daniel Knauf is an American television writer and producer best known for creating the HBO series "Carnivàle."
  • 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_69c00876a69881908088a2626d3b2666 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056e2b1148190908c4dc43abee266 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75800b55081909d6073f10ff16f08 completed March 28, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:09 p.m.