Triple
T604926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Hart |
E11573
|
entity |
| Predicate | notableWork |
P4
|
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: [Michael Hart, notableWork, Project Gutenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Project Gutenberg Context triple: [Michael Hart, notableWork, 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.
Internet Archive
The Internet Archive is a nonprofit digital library that preserves and provides free access to vast collections of websites, books, audio, video, and other cultural artifacts online.
- 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_69a4932779b881908688590d59c71900 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49dc7d88c81909fe493ac57fd784e |
completed | March 1, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a529240e7481908a763a7699b9d478 |
completed | March 2, 2026, 6:07 a.m. |
Created at: March 1, 2026, 7:35 p.m.