Triple

T19637211
Position Surface form Disambiguated ID Type / Status
Subject Reto Wüthrich E471428 entity
Predicate givenName P17 FINISHED
Object Reto
Reto is a masculine given name of Swiss and broader German-speaking origin, commonly used in countries like Switzerland.
 E1388614 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: Reto | Statement: [Reto Wüthrich, givenName, Reto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reto
Context triple: [Reto Wüthrich, givenName, Reto]
  • A. Reto
    Reto is a musical project or track associated with the collaborative album "Money Money 2020" by The Network, a side project of members of Green Day.
  • B. Pa' Que Retozen
    "Pa' Que Retozen" is a popular reggaeton track by Puerto Rican rapper Tego Calderón that helped establish his prominence in the Latin urban music scene.
  • C. Ossuccio
    Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
  • D. Hevioso
    Hevioso is a major Fon deity associated with thunder, lightning, and justice in the traditional religion of the Fon people of West Africa.
  • E. Ricochet
    Ricochet was an early wireless internet service network developed by Metricom that provided mobile, high-speed data access in urban areas before Wi-Fi and modern cellular data became widespread.
  • 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: Reto
Triple: [Reto Wüthrich, givenName, Reto]
Generated description
Reto is a masculine given name of Swiss and broader German-speaking origin, commonly used in countries like Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reto
Target entity description: Reto is a masculine given name of Swiss and broader German-speaking origin, commonly used in countries like Switzerland.
  • A. Reto
    Reto is a musical project or track associated with the collaborative album "Money Money 2020" by The Network, a side project of members of Green Day.
  • B. Pa' Que Retozen
    "Pa' Que Retozen" is a popular reggaeton track by Puerto Rican rapper Tego Calderón that helped establish his prominence in the Latin urban music scene.
  • C. Ossuccio
    Ossuccio is a small lakeside locality on the western shore of Lake Como in northern Italy, known for its scenic setting opposite the historic Isola Comacina.
  • D. Hevioso
    Hevioso is a major Fon deity associated with thunder, lightning, and justice in the traditional religion of the Fon people of West Africa.
  • E. Ricochet
    Ricochet was an early wireless internet service network developed by Metricom that provided mobile, high-speed data access in urban areas before Wi-Fi and modern cellular data became widespread.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64107f3fc8190ace6ae67287d280c completed April 20, 2026, 3:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077ee2ba00819082c50c6b163becf4 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077fb5d7288190a691e312ec22789b completed May 15, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a07810b1de88190a2516712767fde52 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:44 p.m.