Triple
T6266881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pan |
E140435
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Edvarda
Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
|
E581157
|
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: Edvarda | Statement: [Pan, mainCharacter, Edvarda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edvarda Context triple: [Pan, mainCharacter, Edvarda]
-
A.
Henrike
Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
-
B.
Ludvika
Ludvika is a small industrial town in central Sweden known for its engineering and manufacturing industries, particularly in the power and electrical sectors.
-
C.
Dagmar
Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
-
D.
Edvige
Edvige is the given name of Edvige Antonia Albina Maino, better known as Sonia Gandhi, the Italian-born Indian political leader and former president of the Indian National Congress.
-
E.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
- 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: Edvarda Triple: [Pan, mainCharacter, Edvarda]
Generated description
Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edvarda Target entity description: Edvarda is a central fictional character in Knut Hamsun’s novel "Pan," known for her complex and tumultuous relationship with the protagonist.
-
A.
Henrike
Henrike is a feminine given name of German origin, serving as the female form of Heinrich.
-
B.
Ludvika
Ludvika is a small industrial town in central Sweden known for its engineering and manufacturing industries, particularly in the power and electrical sectors.
-
C.
Dagmar
Dagmar is a feminine given name of Germanic origin, historically associated with European nobility and still used in various countries today.
-
D.
Edvige
Edvige is the given name of Edvige Antonia Albina Maino, better known as Sonia Gandhi, the Italian-born Indian political leader and former president of the Indian National Congress.
-
E.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0639fdad081908492c44d369df8c5 |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51939cc6081909e491bd16fab595b |
completed | March 26, 2026, 11:32 a.m. |
| NEDg | Description generation | batch_69c51c246b9c8190b22bc1afedd1956c |
completed | March 26, 2026, 11:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51c9cc3488190abc90abe9ae2050b |
completed | March 26, 2026, 11:46 a.m. |
Created at: March 22, 2026, 4:25 p.m.