Triple
T632842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenlandic Norse |
E15958
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Erik the Red
Erik the Red was a 10th-century Norse explorer best known for leading the first successful European settlement in Greenland.
|
E78994
|
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: Erik the Red | Statement: [Greenlandic Norse, foundedBy, Erik the Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik the Red Context triple: [Greenlandic Norse, foundedBy, Erik the Red]
-
A.
Jóhan
Jóhan is a given name, primarily used in Faroese and other Nordic contexts, that corresponds to the name Johan.
-
B.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
C.
Halvdan Koht
Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
-
D.
Svante
Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
-
E.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
- 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: Erik the Red Triple: [Greenlandic Norse, foundedBy, Erik the Red]
Generated description
Erik the Red was a 10th-century Norse explorer best known for leading the first successful European settlement in Greenland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik the Red Target entity description: Erik the Red was a 10th-century Norse explorer best known for leading the first successful European settlement in Greenland.
-
A.
Jóhan
Jóhan is a given name, primarily used in Faroese and other Nordic contexts, that corresponds to the name Johan.
-
B.
Gunnar
Gunnar is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and associated with warriors or bold fighters.
-
C.
Halvdan Koht
Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
-
D.
Svante
Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
-
E.
Audun Tron
Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec3b6488190aa0dce216c089a2e |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4efbe08190aadee9964901a368 |
completed | March 2, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_69a56ccb53408190a4ddc62c15ed206b |
completed | March 2, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a56d236e388190b0ff9a6b8c296e2d |
completed | March 2, 2026, 10:57 a.m. |
Created at: March 1, 2026, 7:35 p.m.