Triple

T22587559
Position Surface form Disambiguated ID Type / Status
Subject Gutenberg Research College E564840 entity
Predicate name P16 FINISHED
Object Gutenberg Research College 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: Gutenberg Research College | Statement: [Gutenberg Research College, name, Gutenberg Research College]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutenberg Research College
Context triple: [Gutenberg Research College, name, Gutenberg Research College]
  • A. Gutenberg Research College chosen
    Gutenberg Research College is an interdisciplinary research center at Johannes Gutenberg University Mainz that supports and promotes outstanding scholarly and scientific work.
  • B. Packard Humanities Institute
    The Packard Humanities Institute is a non-profit organization dedicated to preserving and promoting cultural heritage, including film, music, and historical archives.
  • C. Gutenberg
    Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
  • D. Gutenberg
    Gutenberg is a small district or locality within the German town of Vallendar.
  • E. Gutenberg
    Gutenberg is a surname most famously associated with Johannes Gutenberg, the 15th-century inventor of the movable-type printing press that revolutionized the spread of information in Europe.
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1615de7d48190b1ca46c76a1e609c completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:46 p.m.