Triple
T14413014
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renny Harlin |
E357377
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Harjola |
E357377
|
NE FINISHED |
How this triple was built (2 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.
Harjola
chosen
Harjola is a Finnish surname, notably borne by film director Renny Harlin (born Lauri Mauritz Harjola).
-
B.
Harjavalta
Harjavalta is a small industrial town and municipality in western Finland known for its metal and chemical industries along the Kokemäki River.
-
C.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
D.
Karhula
Karhula is a former Finnish municipality and industrial community that was incorporated into the city of Kotka.
-
E.
Lapua
Lapua is a small town in western Finland known for its historical significance, including a former state cartridge factory and its role in the Lapua Movement.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bc79c088190b6fd2984515976d7 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:17 a.m.