Triple

T4588852
Position Surface form Disambiguated ID Type / Status
Subject Ottla Kafka E103434 entity
Predicate nickname P55 FINISHED
Object Ottla
Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
 E455479 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: Ottla | Statement: [Ottla Kafka, nickname, Ottla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ottla
Context triple: [Ottla Kafka, nickname, Ottla]
  • A. Luitgard
    Luitgard was the fourth and last wife of Charlemagne, serving briefly as Frankish queen consort in the late 8th century.
  • B. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • C. Kunegunda
    Kunegunda is a feminine given name of Polish origin, historically borne by European nobility such as Theresa Kunegunda Sobieska.
  • D. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • E. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • 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: Ottla
Triple: [Ottla Kafka, nickname, Ottla]
Generated description
Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ottla
Target entity description: Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
  • A. Luitgard
    Luitgard was the fourth and last wife of Charlemagne, serving briefly as Frankish queen consort in the late 8th century.
  • B. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • C. Kunegunda
    Kunegunda is a feminine given name of Polish origin, historically borne by European nobility such as Theresa Kunegunda Sobieska.
  • D. Franziska
    Franziska is a feminine given name of German origin, closely related to and cognate with the name Frances.
  • E. Hedvig
    Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd592115fc8190b1aee1d8bbaf1ee3 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0b9f700819082b0e5171132d0f3 completed March 21, 2026, 12:05 a.m.
NEDg Description generation batch_69bde31735a481909d005e6c44e2f114 completed March 21, 2026, 12:15 a.m.
NED2 Entity disambiguation (via description) batch_69bde6d185088190b94580f53038d883 completed March 21, 2026, 12:31 a.m.
Created at: March 20, 2026, 1:11 p.m.