Triple
T17018059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night on Earth |
E412871
|
entity |
| Predicate | mainCastMember |
P5563
|
FINISHED |
| Object |
Matti Pellonpää
Matti Pellonpää was a Finnish actor known for his distinctive roles in European art-house cinema, particularly in the films of Aki Kaurismäki.
|
E1252674
|
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: Matti Pellonpää | Statement: [Night on Earth, mainCastMember, Matti Pellonpää]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matti Pellonpää Context triple: [Night on Earth, mainCastMember, Matti Pellonpää]
-
A.
Heikki Ojansuu
Heikki Ojansuu was a Finnish linguist and scholar known for his research and documentation of Finnic languages and dialects.
-
B.
Antti Järvenpää
Antti Järvenpää is a Finnish public administrator who serves as the municipal manager of the municipality of Ruovesi.
-
C.
Matti Saari
Matti Saari is a Finnish official who served as the governor of the former Western Finland Province.
-
D.
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.
-
E.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
- 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: Matti Pellonpää Triple: [Night on Earth, mainCastMember, Matti Pellonpää]
Generated description
Matti Pellonpää was a Finnish actor known for his distinctive roles in European art-house cinema, particularly in the films of Aki Kaurismäki.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Matti Pellonpää Target entity description: Matti Pellonpää was a Finnish actor known for his distinctive roles in European art-house cinema, particularly in the films of Aki Kaurismäki.
-
A.
Heikki Ojansuu
Heikki Ojansuu was a Finnish linguist and scholar known for his research and documentation of Finnic languages and dialects.
-
B.
Antti Järvenpää
Antti Järvenpää is a Finnish public administrator who serves as the municipal manager of the municipality of Ruovesi.
-
C.
Matti Saari
Matti Saari is a Finnish official who served as the governor of the former Western Finland Province.
-
D.
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.
-
E.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d480a58c8190a3912d26debb4311 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01413cc6f08190ae83a0c98fb96b90 |
completed | May 11, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_6a014218d0cc81909c1b1b4c11484364 |
completed | May 11, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01427ce5d08190b383ea907ca3352e |
completed | May 11, 2026, 2:44 a.m. |
Created at: April 10, 2026, 5:33 a.m.