Triple
T1845580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nils Lofgren |
E41275
|
entity |
| Predicate | website |
P69
|
FINISHED |
| Object |
https://www.nilslofgren.com
https://www.nilslofgren.com is the official website of musician Nils Lofgren, featuring his music, tour dates, news, and related media.
|
E205911
|
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: https://www.nilslofgren.com | Statement: [Nils Lofgren, website, https://www.nilslofgren.com]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: https://www.nilslofgren.com Context triple: [Nils Lofgren, website, https://www.nilslofgren.com]
-
A.
Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
-
B.
Nils Norman
Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
-
C.
Lillesand
Lillesand is a small coastal town and municipality in Agder county, Norway, known for its white wooden houses, maritime heritage, and popular summer tourism along the Skagerrak coast.
-
D.
Robertsen
Robertsen is a surname of likely Scandinavian origin, functioning as a patronymic variant of the name Roberts.
-
E.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
- 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: https://www.nilslofgren.com Triple: [Nils Lofgren, website, https://www.nilslofgren.com]
Generated description
https://www.nilslofgren.com is the official website of musician Nils Lofgren, featuring his music, tour dates, news, and related media.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: https://www.nilslofgren.com Target entity description: https://www.nilslofgren.com is the official website of musician Nils Lofgren, featuring his music, tour dates, news, and related media.
-
A.
Nilsen
Nilsen is a surname, primarily of Scandinavian origin, that serves as a variant spelling of Nelson.
-
B.
Nils Norman
Nils Norman is a business figure known for co-founding the biotechnology company Biogen.
-
C.
Lillesand
Lillesand is a small coastal town and municipality in Agder county, Norway, known for its white wooden houses, maritime heritage, and popular summer tourism along the Skagerrak coast.
-
D.
Robertsen
Robertsen is a surname of likely Scandinavian origin, functioning as a patronymic variant of the name Roberts.
-
E.
Vilailuck Teigen
Vilailuck Teigen is a Thai-American television personality and social media figure best known as the mother of model and author Chrissy Teigen.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb051640c819088a8b28a03f57331 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9c070548190af52d3feaa3aead2 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcb1466788190bdcb50107d838f83 |
completed | March 8, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcbf5b0b881909d43c748034481f4 |
completed | March 8, 2026, 7:20 p.m. |
Created at: March 4, 2026, 7:33 p.m.