Triple
T20473854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayonetta 2 |
E502260
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Jeanne
Jeanne is a powerful Umbra Witch and recurring ally-rival of Bayonetta in the Bayonetta video game series.
|
E1433563
|
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: Jeanne | Statement: [Bayonetta 2, featuresCharacter, Jeanne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeanne Context triple: [Bayonetta 2, featuresCharacter, Jeanne]
-
A.
Jeanne
Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
-
B.
Geneviève
Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
-
C.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
D.
Jeanne Carmen
Jeanne Carmen was an American model, pin-up girl, and B-movie actress known for her roles in low-budget films of the 1950s and her colorful Hollywood social life.
-
E.
Jean
Jean is the given first name of the Canadian novelist Margaret Laurence, a central figure in 20th-century Canadian literature.
- 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: Jeanne Triple: [Bayonetta 2, featuresCharacter, Jeanne]
Generated description
Jeanne is a powerful Umbra Witch and recurring ally-rival of Bayonetta in the Bayonetta video game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeanne Target entity description: Jeanne is a powerful Umbra Witch and recurring ally-rival of Bayonetta in the Bayonetta video game series.
-
A.
Jeanne
Jeanne was a common French female given name historically borne by notable figures such as queens, saints, and writers.
-
B.
Geneviève
Geneviève is a character in Claude Debussy’s opera "Pelléas et Mélisande," typically portrayed as the mother of Pelléas and Golaud and a figure of quiet, dignified authority within the story.
-
C.
Renée
Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
-
D.
Jeanne Carmen
Jeanne Carmen was an American model, pin-up girl, and B-movie actress known for her roles in low-budget films of the 1950s and her colorful Hollywood social life.
-
E.
Jean
Jean is the given first name of the Canadian novelist Margaret Laurence, a central figure in 20th-century Canadian literature.
- 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e699639eec81908f8bd24877b2b876 |
completed | April 20, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a088b1ed1048190aa21411411972f23 |
completed | May 16, 2026, 3:19 p.m. |
| NEDg | Description generation | batch_6a088d7015188190a3a8a7180c2d6723 |
completed | May 16, 2026, 3:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089153d5a88190ab57db1d7cb787b6 |
completed | May 16, 2026, 3:46 p.m. |
Created at: April 16, 2026, 11:33 a.m.