Triple
T15373026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lutsi dialect |
E367595
|
entity |
| Predicate | documentedBy |
P4310
|
FINISHED |
| Object |
Heikki Ojansuu
Heikki Ojansuu was a Finnish linguist and scholar known for his research and documentation of Finnic languages and dialects.
|
E1152518
|
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: Heikki Ojansuu | Statement: [Lutsi dialect, documentedBy, Heikki Ojansuu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heikki Ojansuu Context triple: [Lutsi dialect, documentedBy, Heikki Ojansuu]
-
A.
Heikki Savolainen
Heikki Savolainen was a Finnish artistic gymnast and multiple Olympic medalist who became one of Finland’s most successful early 20th-century gymnasts.
-
B.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
C.
Ahti Heinla
Ahti Heinla is an Estonian computer programmer and entrepreneur best known as a co-founder of Skype and the robotics company Starship Technologies.
-
D.
Wiljo Tuompo
Wiljo Tuompo was a Finnish military officer best known for his leadership role during the Winter War, particularly in the defense against Soviet forces.
-
E.
Paavo Pylkkänen
Paavo Pylkkänen is a Finnish philosopher of mind known for his work on quantum theory and consciousness, particularly in relation to David Bohm’s ideas.
- 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: Heikki Ojansuu Triple: [Lutsi dialect, documentedBy, Heikki Ojansuu]
Generated description
Heikki Ojansuu was a Finnish linguist and scholar known for his research and documentation of Finnic languages and dialects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Heikki Ojansuu Target entity description: Heikki Ojansuu was a Finnish linguist and scholar known for his research and documentation of Finnic languages and dialects.
-
A.
Heikki Savolainen
Heikki Savolainen was a Finnish artistic gymnast and multiple Olympic medalist who became one of Finland’s most successful early 20th-century gymnasts.
-
B.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
C.
Ahti Heinla
Ahti Heinla is an Estonian computer programmer and entrepreneur best known as a co-founder of Skype and the robotics company Starship Technologies.
-
D.
Wiljo Tuompo
Wiljo Tuompo was a Finnish military officer best known for his leadership role during the Winter War, particularly in the defense against Soviet forces.
-
E.
Paavo Pylkkänen
Paavo Pylkkänen is a Finnish philosopher of mind known for his work on quantum theory and consciousness, particularly in relation to David Bohm’s ideas.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69ff0bc7dfe48190a05c2b826c7fd35c |
completed | May 9, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff0c51c6c081908943ddb409655ed6 |
completed | May 9, 2026, 10:28 a.m. |
Created at: April 10, 2026, 3:18 a.m.