Triple

T1347216
Position Surface form Disambiguated ID Type / Status
Subject ETH Zurich E28797 entity
Predicate hasNotableFaculty P141 FINISHED
Object Max Frisch E16207 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: Max Frisch | Statement: [ETH Zurich, hasNotableFaculty, Max Frisch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Frisch
Context triple: [ETH Zurich, hasNotableFaculty, Max Frisch]
  • A. Max Frisch chosen
    Max Frisch was a prominent Swiss playwright and novelist known for works such as "Homo Faber" and "I'm Not Stiller," which explore identity, responsibility, and the nature of modern life.
  • B. Günter Grass
    Günter Grass was a Nobel Prize–winning German novelist, poet, and playwright best known for his seminal postwar novel "The Tin Drum" and his critical engagement with Germany’s Nazi past.
  • C. Hermann Hess
    Hermann Hess was a mountaineer known for making the first recorded ascent of Monte San Valentín, the highest peak in Chilean Patagonia.
  • D. Klaus Mann
    Klaus Mann was a German writer and outspoken anti-fascist intellectual, best known for his novel "Mephisto" and as a prominent member of the literary Mann family.
  • E. Herbert Huncke
    Herbert Huncke was an American writer, hustler, and streetwise raconteur whose gritty tales of New York’s underworld deeply influenced the writers of the Beat Generation.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2406c488190b2c04d54d9c5e94c completed March 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc639201c81908ed9c9ac37cd358f completed March 8, 2026, 12:43 a.m.
Created at: March 1, 2026, 7:56 p.m.