Triple
T18413054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Törnrosens bok |
E441811
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Signora Luna
Signora Luna is a story by Swedish author Carl Jonas Love Almqvist, included as one of the tales in his multi-volume work "Törnrosens bok."
|
E1322782
|
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: Signora Luna | Statement: [Törnrosens bok, hasPart, Signora Luna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Signora Luna Context triple: [Törnrosens bok, hasPart, Signora Luna]
-
A.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
B.
Gelsomina
Gelsomina is the naive, childlike young woman who becomes the tragic, emotionally resonant protagonist of Federico Fellini’s film "La Strada."
-
C.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
D.
Raimonda
Raimonda is a feminine given name, commonly used as the female form of Raymond in various European languages.
-
E.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
- 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: Signora Luna Triple: [Törnrosens bok, hasPart, Signora Luna]
Generated description
Signora Luna is a story by Swedish author Carl Jonas Love Almqvist, included as one of the tales in his multi-volume work "Törnrosens bok."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Signora Luna Target entity description: Signora Luna is a story by Swedish author Carl Jonas Love Almqvist, included as one of the tales in his multi-volume work "Törnrosens bok."
-
A.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
-
B.
Gelsomina
Gelsomina is the naive, childlike young woman who becomes the tragic, emotionally resonant protagonist of Federico Fellini’s film "La Strada."
-
C.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
D.
Raimonda
Raimonda is a feminine given name, commonly used as the female form of Raymond in various European languages.
-
E.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
- 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a259c1c819094e710bb4a7ace75 |
completed | April 19, 2026, 6:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e24be008819083d4ab019e8c66a6 |
completed | May 13, 2026, 2:30 a.m. |
| NEDg | Description generation | batch_6a03e7a576b881908267669e3ed394cf |
completed | May 13, 2026, 2:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03e8046c188190b860addd21ee8346 |
completed | May 13, 2026, 2:55 a.m. |
Created at: April 10, 2026, 10:47 a.m.