Triple

T1282315
Position Surface form Disambiguated ID Type / Status
Subject Johann E27352 entity
Predicate hasShortForm P43 FINISHED
Object Hans E75878 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: Hans | Statement: [Johann, hasShortForm, Hans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans
Context triple: [Johann, hasShortForm, Hans]
  • A. Hans chosen
    Hans is a masculine given name of Germanic origin commonly used in Germanic and Scandinavian countries.
  • B. Helmut
    Helmut is a masculine given name of German origin, historically common in German-speaking countries.
  • C. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • D. Karl
    Karl is the given name of Karl Popper, the influential 20th-century philosopher of science known for his theory of falsifiability.
  • E. Karl
    Karl Schwarzschild was a German physicist and astronomer best known for providing the first exact solution to Einstein’s field equations, leading to the concept of the Schwarzschild black hole.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0b47be08190828a1c0a11d94ce8 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c93bbe8819092dab6a3ed616998 completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 7:50 p.m.