Triple

T15513662
Position Surface form Disambiguated ID Type / Status
Subject Project Gutenberg E368775 entity
Predicate namedAfter P63 FINISHED
Object Johannes Gutenberg E240535 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: Johannes Gutenberg | Statement: [Project Gutenberg, namedAfter, Johannes Gutenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Johannes Gutenberg
Context triple: [Project Gutenberg, namedAfter, Johannes Gutenberg]
  • A. Johannes Gutenberg chosen
    Johannes Gutenberg was a 15th-century German inventor and printer credited with introducing movable-type printing to Europe, revolutionizing the spread of information.
  • B. Anton Koberger
    Anton Koberger was a prominent 15th-century German printer and publisher, best known for producing the richly illustrated Nuremberg Chronicle.
  • C. Erich Gutenberg
    Erich Gutenberg was a prominent German economist and business administration scholar known for fundamentally shaping modern German management theory and production economics.
  • D. William Caxton
    William Caxton was a 15th-century English merchant, diplomat, and printer best known for introducing the printing press to England and producing some of the first books printed in English.
  • E. Guttenberg
    Guttenberg is a small municipality in the Kulmbach district of Bavaria, Germany, known for its rural setting and traditional Franconian character.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04031e62c8190953b61207142af15 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4edee481908382ca5cd266f7b0 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:01 a.m.