Triple
T13479253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuomas Kantelinen |
E318327
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Lupaus
Lupaus is a Finnish film for which composer Tuomas Kantelinen created the musical score.
|
E1042403
|
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: Lupaus | Statement: [Tuomas Kantelinen, notableWork, Lupaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lupaus Context triple: [Tuomas Kantelinen, notableWork, Lupaus]
-
A.
Luntai
Luntai is a small oasis town and county in China’s Xinjiang region, situated along the northern edge of the Taklamakan Desert on the historic Silk Road.
-
B.
Laukaa
Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
-
C.
Lapsis
Lapsis is a 2020 science fiction film written and directed by Noah Hutton that satirically explores gig economy labor through a near-future story about a man who takes a job laying cable for a mysterious quantum computing network.
-
D.
Lapsi
Lapsi is a traditional North Indian sweet dish made from broken wheat, ghee, and sugar, commonly prepared during festivals and special occasions in regions like Bundelkhand.
-
E.
Lohavan
Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
- 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: Lupaus Triple: [Tuomas Kantelinen, notableWork, Lupaus]
Generated description
Lupaus is a Finnish film for which composer Tuomas Kantelinen created the musical score.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lupaus Target entity description: Lupaus is a Finnish film for which composer Tuomas Kantelinen created the musical score.
-
A.
Luntai
Luntai is a small oasis town and county in China’s Xinjiang region, situated along the northern edge of the Taklamakan Desert on the historic Silk Road.
-
B.
Laukaa
Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
-
C.
Lapsis
Lapsis is a 2020 science fiction film written and directed by Noah Hutton that satirically explores gig economy labor through a near-future story about a man who takes a job laying cable for a mysterious quantum computing network.
-
D.
Lapsi
Lapsi is a traditional North Indian sweet dish made from broken wheat, ghee, and sugar, commonly prepared during festivals and special occasions in regions like Bundelkhand.
-
E.
Lohavan
Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf266c508190930d30776c09ce35 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7463340fc8190b1128bd1d26f91ab |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f747fee42c819097ccfaf01b1bf4da |
completed | May 3, 2026, 1:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f748bfc1a481908c3a86018533e45d |
completed | May 3, 2026, 1:08 p.m. |
Created at: April 9, 2026, 9:42 p.m.