Triple
T3668749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beno Gutenberg |
E77826
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | 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: Gutenberg | Statement: [Beno Gutenberg, familyName, Gutenberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gutenberg Context triple: [Beno Gutenberg, familyName, Gutenberg]
-
A.
Gutenberg
Gutenberg is the block-based content editor introduced in WordPress to enable more flexible, visual page and post creation.
-
B.
Guttenberg
Guttenberg is a surname most famously associated with American actor and comedian Steve Guttenberg, known for his roles in 1980s films such as the Police Academy series.
-
C.
Gutenberg the Geek
Gutenberg the Geek is a book by media theorist Jeff Jarvis that reinterprets Johannes Gutenberg as an early tech entrepreneur to draw parallels between the printing revolution and the digital age.
-
D.
Erich Gutenberg
Erich Gutenberg was a prominent German economist and business administration scholar known for fundamentally shaping modern German management theory and production economics.
-
E.
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.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4884e36108190a19887e81921fe32 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.