Triple
T15673173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beno Gutenberg |
E377369
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Beno |
E377369
|
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: Beno | Statement: [Beno Gutenberg, givenName, Beno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beno Context triple: [Beno Gutenberg, givenName, Beno]
-
A.
Beno
chosen
Beno is the given name of the German seismologist Beno Gutenberg, known for his pioneering work on the structure of the Earth's interior.
-
B.
Benais
Benais is a French commune in the Indre-et-Loire department of the Loire Valley, known for its vineyards and wine production.
-
C.
Béraud
Béraud is a French surname most notably associated with the 19th-century painter Jean Béraud, renowned for his vivid depictions of Parisian life during the Belle Époque.
-
D.
Bernardin
Bernardin is a well-known brand specializing in home canning and preserving supplies, particularly mason jars, lids, and related accessories.
-
E.
Bonan
Bonan is a Mongolic ethnic group in China, primarily residing in Gansu and Qinghai provinces, known for their distinct language and blend of Islamic and local cultural traditions.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6edb12bc8190b2c5558190671ae5 |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:16 a.m.