Triple

T10023899
Position Surface form Disambiguated ID Type / Status
Subject West–östlicher Divan E200676 entity
Predicate notableCharacter P1481 FINISHED
Object Suleika
Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
E835261 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: Suleika | Statement: [West–östlicher Divan, notableCharacter, Suleika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suleika
Context triple: [West–östlicher Divan, notableCharacter, Suleika]
  • A. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • B. Naila
    Naila is a small town in northern Bavaria, Germany, known for its location near the Franconian Forest and its traditional Upper Franconian character.
  • C. Narjis
    Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
  • D. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • E. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • 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: Suleika
Triple: [West–östlicher Divan, notableCharacter, Suleika]
Generated description
Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Suleika
Target entity description: Suleika is a central poetic figure in Goethe’s "West–östlicher Divan," inspired by the persona of Marianne von Willemer and emblematic of the collection’s East–West lyrical dialogue on love and spirituality.
  • A. Serein
    Serein is a river in central France that flows through the Burgundy region before joining the Yonne River.
  • B. Naila
    Naila is a small town in northern Bavaria, Germany, known for its location near the Franconian Forest and its traditional Upper Franconian character.
  • C. Narjis
    Narjis is revered in Shia Islam as the mother of Muhammad al-Mahdi, the twelfth and final Imam.
  • D. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • E. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • 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_69ca831c45f08190ac1505cc15076608 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd7c75548190aa604d90d63dc111 completed April 2, 2026, 1:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26abb0ab08190b5bcf101c5680f3c completed April 5, 2026, 1:59 p.m.
NEDg Description generation batch_69d26cc38274819090cf10c2fcf43cc7 completed April 5, 2026, 2:08 p.m.
NED2 Entity disambiguation (via description) batch_69d26d2c91fc8190bc40a678662c19aa completed April 5, 2026, 2:09 p.m.
Created at: March 30, 2026, 8:53 p.m.