Triple
T18641971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elin Nordegren |
E455710
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Nordegren
Nordegren is a Swedish surname most notably borne by Elin Nordegren, a former model and the ex-wife of golfer Tiger Woods.
|
E1335096
|
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: Nordegren | Statement: [Elin Nordegren, familyName, Nordegren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordegren Context triple: [Elin Nordegren, familyName, Nordegren]
-
A.
Teuva
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
-
B.
Nordström
Nordström is a Swedish surname commonly associated with individuals of Scandinavian origin, including the economist and author Kjell A. Nordström.
-
C.
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
-
D.
Donzenac
Donzenac is a historic commune in central France’s Corrèze department, known for its medieval architecture and picturesque setting near Brive-la-Gaillarde.
-
E.
Holtriem
Holtriem is a rural region in East Frisia in northwestern Germany, known for its small villages, low-lying landscapes, and proximity to the North Sea coast.
- 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: Nordegren Triple: [Elin Nordegren, familyName, Nordegren]
Generated description
Nordegren is a Swedish surname most notably borne by Elin Nordegren, a former model and the ex-wife of golfer Tiger Woods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nordegren Target entity description: Nordegren is a Swedish surname most notably borne by Elin Nordegren, a former model and the ex-wife of golfer Tiger Woods.
-
A.
Teuva
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
-
B.
Nordström
Nordström is a Swedish surname commonly associated with individuals of Scandinavian origin, including the economist and author Kjell A. Nordström.
-
C.
Borregaard
Borregaard is a Norwegian biorefinery company that produces advanced and sustainable bio-based chemicals and materials from wood.
-
D.
Donzenac
Donzenac is a historic commune in central France’s Corrèze department, known for its medieval architecture and picturesque setting near Brive-la-Gaillarde.
-
E.
Holtriem
Holtriem is a rural region in East Frisia in northwestern Germany, known for its small villages, low-lying landscapes, and proximity to the North Sea coast.
- 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.