Triple
T23227139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nabucco |
E581044
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Abigaille
Abigaille is the ambitious and vengeful soprano heroine of Giuseppe Verdi’s opera "Nabucco," known for her demanding vocal part and dramatic intensity.
|
E1578042
|
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: Abigaille | Statement: [Nabucco, character, Abigaille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abigaille Context triple: [Nabucco, character, Abigaille]
-
A.
Malena
Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
-
B.
Brigitte
Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
-
C.
Queen Margot
Queen Margot is a historical adventure novel by Alexandre Dumas that dramatizes the turbulent French Wars of Religion and the life of Marguerite de Valois.
-
D.
Gisèle
Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
E.
Catherine Quignon-Le Tyrant
Catherine Quignon-Le Tyrant is a French local politician who serves as the mayor of the commune of Montdidier in northern France.
- 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: Abigaille Triple: [Nabucco, character, Abigaille]
Generated description
Abigaille is the ambitious and vengeful soprano heroine of Giuseppe Verdi’s opera "Nabucco," known for her demanding vocal part and dramatic intensity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abigaille Target entity description: Abigaille is the ambitious and vengeful soprano heroine of Giuseppe Verdi’s opera "Nabucco," known for her demanding vocal part and dramatic intensity.
-
A.
Malena
Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
-
B.
Brigitte
Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
-
C.
Queen Margot
Queen Margot is a historical adventure novel by Alexandre Dumas that dramatizes the turbulent French Wars of Religion and the life of Marguerite de Valois.
-
D.
Gisèle
Gisèle is a feminine given name of French origin, commonly used in Francophone countries and beyond.
-
E.
Catherine Quignon-Le Tyrant
Catherine Quignon-Le Tyrant is a French local politician who serves as the mayor of the commune of Montdidier in northern France.
- 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_69e246043c48819089bae72c9a9c306c |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f1922f5b4081908145d66ea7534493 |
completed | April 29, 2026, 5:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f53f60c8190b0f7d66a360b9897 |
completed | May 19, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_6a0c4075bc508190ae0dc8b61c24faa0 |
completed | May 19, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c411702a48190ba2964ba221394d1 |
completed | May 19, 2026, 10:53 a.m. |
Created at: April 17, 2026, 4:09 p.m.