Triple

T8469122
Position Surface form Disambiguated ID Type / Status
Subject Genoveva, Op. 81 E200236 entity
Predicate mainCharacter P1183 FINISHED
Object Margaretha
Margaretha is the central female protagonist of Robert Schumann’s opera *Genoveva*, around whom the drama’s emotional and narrative developments revolve.
E113357 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: Margaretha | Statement: [Genoveva, Op. 81, mainCharacter, Margaretha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaretha
Context triple: [Genoveva, Op. 81, mainCharacter, Margaretha]
  • A. Margareta
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • B. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • C. 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.
  • D. Violanta
    Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
  • E. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • 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: Margaretha
Triple: [Genoveva, Op. 81, mainCharacter, Margaretha]
Generated description
Margaretha is the central female protagonist of Robert Schumann’s opera *Genoveva*, around whom the drama’s emotional and narrative developments revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Margaretha
Target entity description: Margaretha is the central female protagonist of Robert Schumann’s opera *Genoveva*, around whom the drama’s emotional and narrative developments revolve.
  • A. Margareta chosen
    Margareta is a feminine given name used in various European languages, closely related to and derived from the name Margaret.
  • B. Birgitte
    Birgitte is a Danish-born member of the British royal family who holds the title Duchess of Gloucester.
  • C. 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.
  • D. Violanta
    Violanta is a one-act opera by Erich Wolfgang Korngold, known for its lush late-Romantic score and psychologically intense drama set in Renaissance Venice.
  • E. Gisela
    Gisela was a daughter of Charlemagne, the Frankish king and first Holy Roman Emperor, and a member of the Carolingian royal family.
  • F. None of above.

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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d5dd088190a79050417f527f14 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39f45c3081908ea50810f0a386d6 completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3bd6c0c4819099f104c6dbfeef2c completed April 2, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69ce401c4e7081909a5b9fe0c0926114 completed April 2, 2026, 10:08 a.m.
Created at: March 30, 2026, 6:11 p.m.