Triple

T11972175
Position Surface form Disambiguated ID Type / Status
Subject Józef Dietl E284946 entity
Predicate familyName P18 FINISHED
Object Dietl E298849 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: Dietl | Statement: [Józef Dietl, familyName, Dietl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dietl
Context triple: [Józef Dietl, familyName, Dietl]
  • A. Dietl chosen
    Dietl is a German surname most notably associated with Eduard Dietl, a World War II German general.
  • B. Garbitsch
    Garbitsch is the sinister, Goebbels-like propaganda minister in Charlie Chaplin’s 1940 satirical film "The Great Dictator," played by actor Henry Daniell.
  • C. Dannhauser
    Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
  • D. Eberl
    Eberl is a German-language surname of Austrian and Bavarian origin borne by various notable individuals.
  • E. Deitinger
    Deitinger is the original surname of Italian-American actor Cesare Danova, known for his roles in mid-20th-century film and television.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037d32e88190b1509285dc907d29 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4597cf818819089b0d897c236b87b completed May 1, 2026, 7:42 a.m.
Created at: April 8, 2026, 9:46 p.m.