Triple

T16585906
Position Surface form Disambiguated ID Type / Status
Subject Franziska Gräfin zu Reventlow E402955 entity
Predicate notableWork P4 FINISHED
Object Amouresken
Amouresken is a collection of witty, autobiographical-tinged prose pieces by the German writer and bohemian figure Franziska Gräfin zu Reventlow.
 E1221684 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: Amouresken | Statement: [Franziska Gräfin zu Reventlow, notableWork, Amouresken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amouresken
Context triple: [Franziska Gräfin zu Reventlow, notableWork, Amouresken]
  • A. Amores
    Amores is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
  • B. Amores
    Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
  • C. Amor
    "Amor" is a popular 1960s Latin-influenced pop song recorded by American singer Eydie Gormé that became one of her signature hits.
  • D. Amor
    Amor is the personification of love in Christoph Willibald Gluck’s opera "Orphée et Eurydice," often depicted as a divine figure guiding the fate of the lovers.
  • E. Les Amours
    Les Amours is a celebrated 16th-century sonnet sequence by Pierre de Ronsard that helped establish him as a leading poet of the French Renaissance.
  • 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: Amouresken
Triple: [Franziska Gräfin zu Reventlow, notableWork, Amouresken]
Generated description
Amouresken is a collection of witty, autobiographical-tinged prose pieces by the German writer and bohemian figure Franziska Gräfin zu Reventlow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amouresken
Target entity description: Amouresken is a collection of witty, autobiographical-tinged prose pieces by the German writer and bohemian figure Franziska Gräfin zu Reventlow.
  • A. Amores
    Amores is a bus rapid transit station on Line 2 of the Metrobús system in Mexico City.
  • B. Amores
    Amores is a collection of Latin love elegies by the Roman poet Ovid that playfully explore themes of romance, desire, and poetic artistry.
  • C. Amor
    Amor is the personification of love in Christoph Willibald Gluck’s opera "Orphée et Eurydice," often depicted as a divine figure guiding the fate of the lovers.
  • D. Amor
    "Amor" is a popular 1960s Latin-influenced pop song recorded by American singer Eydie Gormé that became one of her signature hits.
  • E. Les Amours
    Les Amours is a celebrated 16th-century sonnet sequence by Pierre de Ronsard that helped establish him as a leading poet of the French Renaissance.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3599cbc448190bc80eef4ad58eb41 completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a006ef4f17c819095b3c6f8644b687b completed May 10, 2026, 11:41 a.m.
NEDg Description generation batch_6a006fd574a4819099d12f36addaca24 completed May 10, 2026, 11:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0070bb150881908f9d62b3ba2f4b1d completed May 10, 2026, 11:49 a.m.
Created at: April 10, 2026, 5:16 a.m.