Triple

T14850793
Position Surface form Disambiguated ID Type / Status
Subject Cuno Amiet E349220 entity
Predicate givenName P17 FINISHED
Object Cuno
Cuno is a masculine given name of Germanic origin, used in various European countries.
E1123836 NE FINISHED

How this triple was built (4 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: Cuno | Statement: [Cuno Amiet, givenName, Cuno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cuno
Context triple: [Cuno Amiet, givenName, Cuno]
  • A. Ercoli
    Ercoli was a pseudonym used by Italian communist leader Palmiro Togliatti, a key figure in 20th-century European leftist politics.
  • B. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • C. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • D. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • E. Turati
    Turati is an Italian surname most notably associated with Filippo Turati, a leading socialist politician and intellectual in early 20th-century Italy.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cuno
Triple: [Cuno Amiet, givenName, Cuno]
Generated description
Cuno is a masculine given name of Germanic origin, used in various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cuno
Target entity description: Cuno is a masculine given name of Germanic origin, used in various European countries.
  • A. Ercoli
    Ercoli was a pseudonym used by Italian communist leader Palmiro Togliatti, a key figure in 20th-century European leftist politics.
  • B. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • C. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • D. Aurel
    Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
  • E. Turati
    Turati is an Italian surname most notably associated with Filippo Turati, a leading socialist politician and intellectual in early 20th-century Italy.
  • F. None of above. chosen

Provenance (5 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded43eee188190bf24dc475b3abe28 completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6504ac6081908074231cf628fd39 completed May 8, 2026, 10:34 p.m.
NEDg Description generation batch_69fe65f41df08190ae7eee3b0235faf6 completed May 8, 2026, 10:38 p.m.
NED2 Entity disambiguation (via description) batch_69fe66f7b5a48190b5d31ac38e7300f9 completed May 8, 2026, 10:43 p.m.
Created at: April 10, 2026, 1:54 a.m.