Triple

T17848339
Position Surface form Disambiguated ID Type / Status
Subject Fritz Luchsinger E445722 entity
Predicate hasGivenName P17 FINISHED
Object Fritz 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: Fritz | Statement: [Fritz Luchsinger, hasGivenName, Fritz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fritz
Context triple: [Fritz Luchsinger, hasGivenName, Fritz]
  • A. Fritz
    Fritz is the hunchbacked assistant to Dr. Frankenstein in the 1931 horror film "Frankenstein," known for helping to procure the monster’s body parts and brain.
  • B. Fritz
    Fritz London was a German-born theoretical physicist best known for his pioneering work on quantum mechanics and the theory of intermolecular forces, including London dispersion forces.
  • C. Fritz
    Fritz is an individual known primarily as the offspring of Fifi.
  • D. Fritz chosen
    Fritz is a masculine given name of German origin commonly used in German-speaking countries.
  • E. Fritz
    Fritz is one of the animatronic macaw hosts in Walt Disney’s Enchanted Tiki Room attraction at Disney theme parks.
  • 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_69d8b9f26f18819089c9e43250bee6ae completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48ffc5fec8190adc66f7b0e264d5f completed April 19, 2026, 8:19 a.m.
Created at: April 10, 2026, 10:16 a.m.