Triple
T9006378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Centre Party of Finland |
E215152
|
entity |
| Predicate | hasPrimeMinister |
P8665
|
FINISHED |
| Object |
Martti Miettunen
Martti Miettunen was a Finnish politician who served twice as Prime Minister and was a prominent figure in mid-20th-century Finnish politics.
|
E796996
|
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: Martti Miettunen | Statement: [Centre Party of Finland, hasPrimeMinister, Martti Miettunen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martti Miettunen Context triple: [Centre Party of Finland, hasPrimeMinister, Martti Miettunen]
-
A.
Juhani Mykkänen
Juhani Mykkänen is an entrepreneur best known as a co-founder of the social gaming company Playfish.
-
B.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
C.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
D.
Reijo Kela
Reijo Kela is a Finnish performance and environmental artist known for large-scale, site-specific works that blend sculpture, landscape, and conceptual art.
-
E.
Antti Lindtman
Antti Lindtman is a Finnish politician who leads the Social Democratic Party and has served as a prominent member of Finland’s Parliament.
- 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: Martti Miettunen Triple: [Centre Party of Finland, hasPrimeMinister, Martti Miettunen]
Generated description
Martti Miettunen was a Finnish politician who served twice as Prime Minister and was a prominent figure in mid-20th-century Finnish politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Martti Miettunen Target entity description: Martti Miettunen was a Finnish politician who served twice as Prime Minister and was a prominent figure in mid-20th-century Finnish politics.
-
A.
Juhani Mykkänen
Juhani Mykkänen is an entrepreneur best known as a co-founder of the social gaming company Playfish.
-
B.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
C.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
D.
Reijo Kela
Reijo Kela is a Finnish performance and environmental artist known for large-scale, site-specific works that blend sculpture, landscape, and conceptual art.
-
E.
Antti Lindtman
Antti Lindtman is a Finnish politician who leads the Social Democratic Party and has served as a prominent member of Finland’s Parliament.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc69bc6e208190b0c01e3761c04799 |
completed | April 1, 2026, 12:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d10776e8e88190a4433e42a3b55f38 |
completed | April 4, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69d10811d6c88190ba342772245a7947 |
completed | April 4, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d108708a988190b6fb571ae689cbf2 |
completed | April 4, 2026, 12:47 p.m. |
Created at: March 30, 2026, 7:05 p.m.