Triple

T13751457
Position Surface form Disambiguated ID Type / Status
Subject Jakob Rosanes E330360 entity
Predicate familyName P18 FINISHED
Object Rosanes
Rosanes is a German-language surname of Jewish origin borne by several notable figures, including mathematicians and scholars.
 E1058964 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: Rosanes | Statement: [Jakob Rosanes, familyName, Rosanes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rosanes
Context triple: [Jakob Rosanes, familyName, Rosanes]
  • A. Iosseliani
    Iosseliani is a Georgian surname most prominently associated with acclaimed film director Otar Iosseliani.
  • B. Toledano
    Toledano is the Spanish term used to refer to people or things originating from the historic city of Toledo in central Spain.
  • C. Sarakatsani
    The Sarakatsani are a traditionally transhumant, Greek-speaking shepherd people of the Balkans, known for their distinctive pastoral culture, folk art, and conservative social customs.
  • D. Rascia
    Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
  • E. Sirota
    Sirota is a surname most notably associated with American journalist, author, and political commentator David Sirota.
  • 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: Rosanes
Triple: [Jakob Rosanes, familyName, Rosanes]
Generated description
Rosanes is a German-language surname of Jewish origin borne by several notable figures, including mathematicians and scholars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rosanes
Target entity description: Rosanes is a German-language surname of Jewish origin borne by several notable figures, including mathematicians and scholars.
  • A. Iosseliani
    Iosseliani is a Georgian surname most prominently associated with acclaimed film director Otar Iosseliani.
  • B. Toledano
    Toledano is the Spanish term used to refer to people or things originating from the historic city of Toledo in central Spain.
  • C. Sarakatsani
    The Sarakatsani are a traditionally transhumant, Greek-speaking shepherd people of the Balkans, known for their distinctive pastoral culture, folk art, and conservative social customs.
  • D. Rascia
    Rascia is a historical region in the central Balkans that formed the medieval core of the Serbian state.
  • E. Sirota
    Sirota is a surname most notably associated with American journalist, author, and political commentator David Sirota.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02148c208190a882927905a861a6 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8560614819085958205637f3863 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a8f6833881908bcca35d7d01596a completed May 3, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 10:08 p.m.