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.