Triple
T7733527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pär Lagerkvist |
E175322
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Lagerkvist
Lagerkvist is a Swedish surname most famously borne by Nobel Prize–winning author Pär Lagerkvist.
|
E684956
|
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: Lagerkvist | Statement: [Pär Lagerkvist, familyName, Lagerkvist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagerkvist Context triple: [Pär Lagerkvist, familyName, Lagerkvist]
-
A.
Ragnar Skanåker
Ragnar Skanåker is a Swedish sport shooter renowned for his multiple Olympic medals and exceptionally long competitive career spanning several decades.
-
B.
Erik Axelsson Tott
Erik Axelsson Tott was a 15th-century Swedish nobleman and statesman from the influential Tott family who played a key role in the politics of the Kalmar Union era.
-
C.
Lonborg
Lonborg is a surname most notably associated with Dutch Lonborg, an American basketball player, coach, and Hall of Fame athletic administrator.
-
D.
Hjalmar Nyström
Hjalmar Nyström was a Finnish Greco-Roman wrestler who won multiple Olympic and European Championship medals in the early 20th century.
-
E.
Magnus Westerlund
Magnus Westerlund is a networking and real-time communications expert known for his leadership roles in Internet standards development, particularly within the IETF.
- 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: Lagerkvist Triple: [Pär Lagerkvist, familyName, Lagerkvist]
Generated description
Lagerkvist is a Swedish surname most famously borne by Nobel Prize–winning author Pär Lagerkvist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lagerkvist Target entity description: Lagerkvist is a Swedish surname most famously borne by Nobel Prize–winning author Pär Lagerkvist.
-
A.
Ragnar Skanåker
Ragnar Skanåker is a Swedish sport shooter renowned for his multiple Olympic medals and exceptionally long competitive career spanning several decades.
-
B.
Erik Axelsson Tott
Erik Axelsson Tott was a 15th-century Swedish nobleman and statesman from the influential Tott family who played a key role in the politics of the Kalmar Union era.
-
C.
Lonborg
Lonborg is a surname most notably associated with Dutch Lonborg, an American basketball player, coach, and Hall of Fame athletic administrator.
-
D.
Hjalmar Nyström
Hjalmar Nyström was a Finnish Greco-Roman wrestler who won multiple Olympic and European Championship medals in the early 20th century.
-
E.
Magnus Westerlund
Magnus Westerlund is a networking and real-time communications expert known for his leadership roles in Internet standards development, particularly within the IETF.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70339c4b481909a56ae13f501e794 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b534b6588190885db4632b97775f |
completed | March 29, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69c8b6b440dc81908c4989ed86554ddf |
completed | March 29, 2026, 5:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b77fbd448190a7d96aada94e818d |
completed | March 29, 2026, 5:24 a.m. |
Created at: March 27, 2026, 4:06 p.m.