Triple
T10373469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lina Leandersson |
E244441
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Leandersson
Leandersson is a Swedish surname most notably borne by actress Lina Leandersson, known for her role in the film "Let the Right One In."
|
E860767
|
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: Leandersson | Statement: [Lina Leandersson, familyName, Leandersson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leandersson Context triple: [Lina Leandersson, familyName, Leandersson]
-
A.
Lukasson
Lukasson is a surname of likely Scandinavian origin, commonly used as a patronymic family name.
-
B.
Relander
Relander is a Finnish surname most notably associated with Lauri Kristian Relander, the second President of Finland.
-
C.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
D.
Andersson
Andersson is a common Swedish surname borne by numerous notable individuals across fields such as music, sports, and politics.
-
E.
Hedman
Hedman is a Swedish surname most prominently associated with Victor Hedman, an elite NHL defenseman for the Tampa Bay Lightning.
- 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: Leandersson Triple: [Lina Leandersson, familyName, Leandersson]
Generated description
Leandersson is a Swedish surname most notably borne by actress Lina Leandersson, known for her role in the film "Let the Right One In."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leandersson Target entity description: Leandersson is a Swedish surname most notably borne by actress Lina Leandersson, known for her role in the film "Let the Right One In."
-
A.
Lukasson
Lukasson is a surname of likely Scandinavian origin, commonly used as a patronymic family name.
-
B.
Relander
Relander is a Finnish surname most notably associated with Lauri Kristian Relander, the second President of Finland.
-
C.
Linderud
Linderud is a residential neighborhood in Oslo, Norway, known for its apartment blocks, shopping center, and access to public transportation.
-
D.
Andersson
Andersson is a common Swedish surname borne by numerous notable individuals across fields such as music, sports, and politics.
-
E.
Hedman
Hedman is a Swedish surname most prominently associated with Victor Hedman, an elite NHL defenseman for the Tampa Bay Lightning.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e97f8a148190bb04996132cd464a |
completed | April 7, 2026, 11:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7956ca1e08190880342b22a55783f |
completed | April 9, 2026, 12:02 p.m. |
| NEDg | Description generation | batch_69d7bdde34408190a047ede29b91e182 |
completed | April 9, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d7e5fc6a008190b2a2326840074b53 |
completed | April 9, 2026, 5:46 p.m. |
Created at: April 6, 2026, 12:02 p.m.