Triple
T18058360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mora |
E432099
|
entity |
| Predicate | hasNotablePerson |
P304
|
FINISHED |
| Object |
Emma Igelström
Emma Igelström is a Swedish former breaststroke swimmer and multiple world record holder who became one of the country's most prominent swimmers in the early 2000s.
|
E1314700
|
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: Emma Igelström | Statement: [Mora, hasNotablePerson, Emma Igelström]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emma Igelström Context triple: [Mora, hasNotablePerson, Emma Igelström]
-
A.
Emma Andersson
Emma Andersson is known as the spouse of Swedish ice hockey star Henrik Zetterberg.
-
B.
Kristina Edström
Kristina Edström is a Swedish chemist and professor renowned for her research on battery technology and energy storage materials.
-
C.
Marianne Engblom
Marianne Engblom is a former New York correction officer best known as a named plaintiff in the landmark U.S. constitutional case Engblom v. Carey, which addressed the application of the Third Amendment to state actions.
-
D.
Elin Hamrin
Elin Hamrin was the wife of Swedish politician and former Prime Minister Felix Hamrin.
-
E.
Greta Lindström
Greta Lindström is a Swedish actress known for her roles in early 20th-century Scandinavian cinema.
- 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: Emma Igelström Triple: [Mora, hasNotablePerson, Emma Igelström]
Generated description
Emma Igelström is a Swedish former breaststroke swimmer and multiple world record holder who became one of the country's most prominent swimmers in the early 2000s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Emma Igelström Target entity description: Emma Igelström is a Swedish former breaststroke swimmer and multiple world record holder who became one of the country's most prominent swimmers in the early 2000s.
-
A.
Emma Andersson
Emma Andersson is known as the spouse of Swedish ice hockey star Henrik Zetterberg.
-
B.
Kristina Edström
Kristina Edström is a Swedish chemist and professor renowned for her research on battery technology and energy storage materials.
-
C.
Marianne Engblom
Marianne Engblom is a former New York correction officer best known as a named plaintiff in the landmark U.S. constitutional case Engblom v. Carey, which addressed the application of the Third Amendment to state actions.
-
D.
Elin Hamrin
Elin Hamrin was the wife of Swedish politician and former Prime Minister Felix Hamrin.
-
E.
Greta Lindström
Greta Lindström is a Swedish actress known for her roles in early 20th-century Scandinavian cinema.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c1048c00819097c7dfbf76bb0987 |
completed | April 19, 2026, 11:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03ac5724bc8190b9edb164ef49ea5b |
completed | May 12, 2026, 10:40 p.m. |
| NEDg | Description generation | batch_6a03ad1e02b48190a23789b2e62d820b |
completed | May 12, 2026, 10:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03adef02fc81909d78aaf558c2cab6 |
completed | May 12, 2026, 10:47 p.m. |
Created at: April 10, 2026, 10:26 a.m.