Triple
T2183941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lund University |
E49107
|
entity |
| Predicate | hasRector |
P325
|
FINISHED |
| Object |
Erik Renström
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
|
E243319
|
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: Erik Renström | Statement: [Lund University, hasRector, Erik Renström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Renström Context triple: [Lund University, hasRector, Erik Renström]
-
A.
Erik Bäckström
Erik Bäckström is a notable individual who carries the Swedish surname Bäckström.
-
B.
Erik Carlsson
Erik Carlsson was a legendary Swedish rally driver famed for his success in international competitions during the 1950s and 1960s, particularly with Saab.
-
C.
Andreas Norlén
Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
-
D.
Lars Gustafsson
Lars Gustafsson was a prominent Swedish novelist, poet, and philosopher known for his intellectually playful, metafictional works and significant influence on late 20th-century Scandinavian literature.
-
E.
Mikael Odenberg
Mikael Odenberg is a Swedish politician who served as Sweden’s Minister for Defence and has been a prominent member of the Moderate Party.
- 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: Erik Renström Triple: [Lund University, hasRector, Erik Renström]
Generated description
Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik Renström Target entity description: Erik Renström is a Swedish academic and professor who serves as the rector (vice-chancellor) of Lund University.
-
A.
Erik Bäckström
Erik Bäckström is a notable individual who carries the Swedish surname Bäckström.
-
B.
Erik Carlsson
Erik Carlsson was a legendary Swedish rally driver famed for his success in international competitions during the 1950s and 1960s, particularly with Saab.
-
C.
Andreas Norlén
Andreas Norlén is a Swedish politician who serves as the Speaker of the Riksdag, Sweden’s national legislature.
-
D.
Lars Gustafsson
Lars Gustafsson was a prominent Swedish novelist, poet, and philosopher known for his intellectually playful, metafictional works and significant influence on late 20th-century Scandinavian literature.
-
E.
Mikael Odenberg
Mikael Odenberg is a Swedish politician who served as Sweden’s Minister for Defence and has been a prominent member of the Moderate Party.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0e92248190a9449fce4044438a |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da963308190bcd0918b8317b3f6 |
completed | March 9, 2026, 5:42 a.m. |
| NEDg | Description generation | batch_69ae5e30a69c8190a3f77e784401f671 |
completed | March 9, 2026, 5:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5ea7909c8190a93d87a5d07b84d4 |
completed | March 9, 2026, 5:46 a.m. |
Created at: March 4, 2026, 7:45 p.m.