Triple
T9940487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner Oland |
E194066
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ölund
Ölund is the original Swedish family name of actor Warner Oland, known for his portrayals of Asian characters in early 20th-century American cinema.
|
E830603
|
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: Ölund | Statement: [Warner Oland, familyName, Ölund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ölund Context triple: [Warner Oland, familyName, Ölund]
-
A.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
-
B.
Utö
Utö is a Swedish island in the Stockholm archipelago known for its historic iron ore mines, scenic nature, and popular summer tourism.
-
C.
Utö
Utö is a small, remote Finnish island in the outer Turku Archipelago known for its historic lighthouse, pilot station, and rugged Baltic Sea scenery.
-
D.
Norderön
Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
-
E.
Ulriksdal
Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
- 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: Ölund Triple: [Warner Oland, familyName, Ölund]
Generated description
Ölund is the original Swedish family name of actor Warner Oland, known for his portrayals of Asian characters in early 20th-century American cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ölund Target entity description: Ölund is the original Swedish family name of actor Warner Oland, known for his portrayals of Asian characters in early 20th-century American cinema.
-
A.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
-
B.
Utö
Utö is a Swedish island in the Stockholm archipelago known for its historic iron ore mines, scenic nature, and popular summer tourism.
-
C.
Utö
Utö is a small, remote Finnish island in the outer Turku Archipelago known for its historic lighthouse, pilot station, and rugged Baltic Sea scenery.
-
D.
Norderön
Norderön is a Swedish island located in the large inland lake Storsjön in the province of Jämtland.
-
E.
Ulriksdal
Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb60f4ffc8190bfe916bb4a7bf5c5 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d229080d0081908b66b9c4166db252 |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d22a07d4088190b19b4529c0a56f8d |
completed | April 5, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22b37ce8481909a52a144605d44a4 |
completed | April 5, 2026, 9:28 a.m. |
Created at: March 30, 2026, 8:44 p.m.