Triple
T21882827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Legacy |
E540331
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Dag Lundberg
Dag Lundberg is an author recognized for his contributions to literature, particularly through works that have left a lasting impact.
|
E1506367
|
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: Dag Lundberg | Statement: [Legacy, writer, Dag Lundberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dag Lundberg Context triple: [Legacy, writer, Dag Lundberg]
-
A.
Lars Berglund
Lars Berglund is a Swedish professional ice hockey player known for his career as a defenseman in European leagues.
-
B.
Kristian Lundin
Kristian Lundin is a Swedish songwriter and producer known for crafting late-1990s and early-2000s pop hits for artists such as Backstreet Boys, *NSYNC, and Celine Dion.
-
C.
Lars Hedlund
Lars Hedlund is a notable individual who shares the Hedlund surname, recognized enough to be specifically cited as a bearer of the name.
-
D.
Lars Lindgren
Lars Lindgren was the son of renowned Swedish author Astrid Lindgren, best known for inspiring aspects of her beloved children's stories.
-
E.
Erik Bergquist
Erik Bergquist is a screenwriter best known for co-writing the original 2001 action film "The Fast and the Furious."
- 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: Dag Lundberg Triple: [Legacy, writer, Dag Lundberg]
Generated description
Dag Lundberg is an author recognized for his contributions to literature, particularly through works that have left a lasting impact.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dag Lundberg Target entity description: Dag Lundberg is an author recognized for his contributions to literature, particularly through works that have left a lasting impact.
-
A.
Lars Berglund
Lars Berglund is a Swedish professional ice hockey player known for his career as a defenseman in European leagues.
-
B.
Kristian Lundin
Kristian Lundin is a Swedish songwriter and producer known for crafting late-1990s and early-2000s pop hits for artists such as Backstreet Boys, *NSYNC, and Celine Dion.
-
C.
Lars Hedlund
Lars Hedlund is a notable individual who shares the Hedlund surname, recognized enough to be specifically cited as a bearer of the name.
-
D.
Lars Lindgren
Lars Lindgren was the son of renowned Swedish author Astrid Lindgren, best known for inspiring aspects of her beloved children's stories.
-
E.
Erik Bergquist
Erik Bergquist is a screenwriter best known for co-writing the original 2001 action film "The Fast and the Furious."
- 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_69e0c479a98081908ce333853fdd4348 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f118e890088190aa3023c78a99a536 |
completed | April 28, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a52a5d32881908e71863ea01e2bae |
completed | May 17, 2026, 11:43 p.m. |
| NEDg | Description generation | batch_6a0a5364e5e88190b6556220f0751784 |
completed | May 17, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a544a2ff08190b992a644f32c4d58 |
completed | May 17, 2026, 11:50 p.m. |
Created at: April 16, 2026, 7:05 p.m.