Triple

T1908727
Position Surface form Disambiguated ID Type / Status
Subject Anna Laetitia Barbauld E38059 entity
Predicate hasWorkInTheCollection P2011 FINISHED
Object Project Gutenberg E75572 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: Project Gutenberg | Statement: [Anna Laetitia Barbauld, hasWorkInTheCollection, Project Gutenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Project Gutenberg
Context triple: [Anna Laetitia Barbauld, hasWorkInTheCollection, Project Gutenberg]
  • A. Project Gutenberg chosen
    Project Gutenberg is a pioneering digital library that offers free access to thousands of public-domain ebooks in multiple formats.
  • B. Wikisource
    Wikisource is a free online digital library of public domain and freely licensed texts that anyone can read and help transcribe.
  • C. Open Library project
    The Open Library project is an online initiative to create a comprehensive, publicly accessible catalog of every book ever published, offering digital borrowing and reading where possible.
  • D. universal digital library
    The universal digital library is a conceptual global repository aiming to provide seamless, searchable access to all recorded human knowledge in digital form.
  • E. Gutenberg
    Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1b55edc8190bce8ac97196939a9 completed March 7, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeafdad3c8190be7aeaed8bdeac43 completed March 8, 2026, 9:32 p.m.
Created at: March 4, 2026, 7:35 p.m.