Triple

T22397540
Position Surface form Disambiguated ID Type / Status
Subject Max Fabian E553673 entity
Predicate hasName P744 FINISHED
Object Max Fabian NE NERFINISHED

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: Max Fabian | Statement: [Max Fabian, hasName, Max Fabian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Fabian
Context triple: [Max Fabian, hasName, Max Fabian]
  • A. Max Fabian chosen
    Max Fabian is a fictional character from the 1950 film "Aged in Wood."
  • B. Julius Schaub
    Julius Schaub was a close associate and chief aide to Adolf Hitler, serving as his personal adjutant and loyal confidant throughout the Nazi era.
  • C. Paul Fiala
    Paul Fiala is an individual notable enough to be recognized as a prominent bearer of the surname Fiala.
  • D. Max Fabiani
    Max Fabiani was a prominent Austro-Italian architect and urban planner associated with the Vienna Secession movement and known for his influential early modernist designs in Central Europe.
  • E. Alfred Gomolka
    Alfred Gomolka was a German politician who became the inaugural Minister-President of the re-established state of Mecklenburg-Vorpommern after German reunification.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585f67108190b8d3f23eaa0ed120 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:46 p.m.