Triple
T25015240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kejsarn av Portugallien |
E626110
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Klara Fina Gulleborg
Klara Fina Gulleborg is the beloved daughter whose departure and idealization drive the emotional and psychological drama in Selma Lagerlöf’s novel *Kejsarn av Portugallien*.
|
E1680185
|
NE FINISHED |
How this triple was built (2 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: Klara Fina Gulleborg | Statement: [Kejsarn av Portugallien, mainCharacter, Klara Fina Gulleborg]
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: Klara Fina Gulleborg Triple: [Kejsarn av Portugallien, mainCharacter, Klara Fina Gulleborg]
Generated description
Klara Fina Gulleborg is the beloved daughter whose departure and idealization drive the emotional and psychological drama in Selma Lagerlöf’s novel *Kejsarn av Portugallien*.
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_69e2ff27755881908490178e83701160 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f44ba4abd08190b0ea447c1c73ffe9 |
completed | May 1, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10895b5e7c81909f912538c96923a0 |
completed | May 22, 2026, 4:50 p.m. |
| NEDg | Description generation | batch_6a108b13f26c81908a4d0ea4bdfa605c |
completed | May 22, 2026, 4:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a108b8ea6908190b8f6887610e5d6a3 |
completed | May 22, 2026, 4:59 p.m. |
Created at: April 18, 2026, 6:06 a.m.