Triple
T3433275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renny Harlin |
E72388
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Harjola
Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
|
E357377
|
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: Harjola | Statement: [Renny Harlin, familyName, Harjola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harjola Context triple: [Renny Harlin, familyName, Harjola]
-
A.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
B.
Kauhava
Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
-
C.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
-
D.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
E.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
- 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: Harjola Triple: [Renny Harlin, familyName, Harjola]
Generated description
Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harjola Target entity description: Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
-
A.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
B.
Kauhava
Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
-
C.
Hyrynsalmi
Hyrynsalmi is a small municipality in the Kainuu region of eastern Finland, known for its forested landscapes, lakes, and outdoor recreation opportunities.
-
D.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
E.
Vihti
Vihti is a municipality in southern Finland located within the Uusimaa region, known for its lakes, rural landscapes, and proximity to the Helsinki metropolitan area.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c1d9148190b873ba66d34d4f01 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547d3f4c8190bc6811398bd8f080 |
completed | March 13, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69b3566a6f3c8190a717deb08209c880 |
completed | March 13, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b356f8f7648190b10e62990634af79 |
completed | March 13, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:15 p.m.