Triple
T18641969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elin Nordegren |
E455710
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object |
Elin Maria Pernilla Nordegren
Elin Maria Pernilla Nordegren is a Swedish former model and nanny best known as the ex-wife of professional golfer Tiger Woods.
|
E1335095
|
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: Elin Maria Pernilla Nordegren | Statement: [Elin Nordegren, birthName, Elin Maria Pernilla Nordegren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elin Maria Pernilla Nordegren Context triple: [Elin Nordegren, birthName, Elin Maria Pernilla Nordegren]
-
A.
Pernilla Wahlgren
Pernilla Wahlgren is a Swedish singer, actress, and television personality known for her long career in entertainment and frequent appearances in music, theater, and TV shows.
-
B.
Lisa Persdotter
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
-
C.
Elin Hamrin
Elin Hamrin was the wife of Swedish politician and former Prime Minister Felix Hamrin.
-
D.
Greta Lundgren
Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
-
E.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
- 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: Elin Maria Pernilla Nordegren Triple: [Elin Nordegren, birthName, Elin Maria Pernilla Nordegren]
Generated description
Elin Maria Pernilla Nordegren is a Swedish former model and nanny best known as the ex-wife of professional golfer Tiger Woods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elin Maria Pernilla Nordegren Target entity description: Elin Maria Pernilla Nordegren is a Swedish former model and nanny best known as the ex-wife of professional golfer Tiger Woods.
-
A.
Pernilla Wahlgren
Pernilla Wahlgren is a Swedish singer, actress, and television personality known for her long career in entertainment and frequent appearances in music, theater, and TV shows.
-
B.
Lisa Persdotter
Lisa Persdotter is a Swedish businesswoman known for her marriage to software pioneer and space tourist Charles Simonyi.
-
C.
Elin Hamrin
Elin Hamrin was the wife of Swedish politician and former Prime Minister Felix Hamrin.
-
D.
Greta Lundgren
Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
-
E.
Kristina Lugn
Kristina Lugn was a Swedish poet, playwright, and member of the Swedish Academy known for her darkly humorous and psychologically incisive works.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fcd6da081908030b052727f2c2f |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d865fc48190a11ed96ebfdca50d |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a051058f5788190b782a39feb7f6111 |
completed | May 13, 2026, 11:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0510fc0d1081908970c91357bb3444 |
completed | May 14, 2026, 12:02 a.m. |
Created at: April 10, 2026, 11:47 a.m.