Triple

T10085777
Position Surface form Disambiguated ID Type / Status
Subject Stefania E215216 entity
Predicate hasMasculineForm P15475 FINISHED
Object Stephan E408420 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: Stephan | Statement: [Stefania, hasMasculineForm, Stephan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephan
Context triple: [Stefania, hasMasculineForm, Stephan]
  • A. Stephan chosen
    Stephan is a masculine given name, commonly used in German- and Dutch-speaking countries, that is a variant of the name Stephen.
  • B. Stephan Zacharias
    Stephan Zacharias is a German film composer known for his dramatic and historically themed scores, including his work on the World War II film "Downfall."
  • C. Stefan Rafael Benjamin
    Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
  • D. Erwin
    Erwin is a masculine given name of German origin, historically associated with figures such as the World War II field marshal Erwin Rommel.
  • E. Julian Priester
    Julian Priester is an American jazz trombonist and composer known for his work in avant-garde, post-bop, and fusion settings with artists such as Sun Ra, Max Roach, and Herbie Hancock.
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd04609748190987a9364a387fa61 completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b68b4dbc8190b0ada78fb29feffd completed April 5, 2026, 7:22 p.m.
Created at: March 30, 2026, 9 p.m.