Triple
T3026549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markings |
E82588
|
entity |
| Predicate | translator |
P5475
|
FINISHED |
| Object |
Leif Sjöberg
Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
|
E321725
|
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: Leif Sjöberg | Statement: [Markings, translator, Leif Sjöberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leif Sjöberg Context triple: [Markings, translator, Leif Sjöberg]
-
A.
Lars Leijonborg
Lars Leijonborg is a Swedish Liberal Party politician who served as party leader and later as Minister for Higher Education and Research.
-
B.
Lars Jansson
Lars Jansson was a Finnish comic strip artist and writer best known for continuing and expanding the beloved Moomin comic series originally created by his sister Tove Jansson.
-
C.
Andreas Norlén
Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
-
D.
Klas Östergren
Klas Östergren is a prominent Swedish novelist, screenwriter, and translator known for works such as "Gentlemen" and his contributions to contemporary Scandinavian literature.
-
E.
Petter Aron Lindström
Petter Aron Lindström was a Swedish neurosurgeon best known as the first husband of actress Ingrid Bergman.
- 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: Leif Sjöberg Triple: [Markings, translator, Leif Sjöberg]
Generated description
Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leif Sjöberg Target entity description: Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
-
A.
Lars Leijonborg
Lars Leijonborg is a Swedish Liberal Party politician who served as party leader and later as Minister for Higher Education and Research.
-
B.
Lars Jansson
Lars Jansson was a Finnish comic strip artist and writer best known for continuing and expanding the beloved Moomin comic series originally created by his sister Tove Jansson.
-
C.
Andreas Norlén
Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
-
D.
Klas Östergren
Klas Östergren is a prominent Swedish novelist, screenwriter, and translator known for works such as "Gentlemen" and his contributions to contemporary Scandinavian literature.
-
E.
Petter Aron Lindström
Petter Aron Lindström was a Swedish neurosurgeon best known as the first husband of actress Ingrid Bergman.
- 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_69ad8b1fb34081908c1b873e2b7273e1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9abd85348190aba9e40658697665 |
completed | March 8, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1deb6dc8c8190a5714894b9ca24a1 |
completed | March 11, 2026, 9:29 p.m. |
| NEDg | Description generation | batch_69b1df85a39c8190ada558de530e3772 |
completed | March 11, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1e3e6aeb48190914d62616ea0c7e1 |
completed | March 11, 2026, 9:51 p.m. |
Created at: March 8, 2026, 3 p.m.