Triple
T14766185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Generation |
E347001
|
entity |
| Predicate | inspiredBy |
P9
|
FINISHED |
| Object | Onmoku (Swedish TV series) |
E1119086
|
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: Onmoku (Swedish TV series) | Statement: [My Generation, inspiredBy, Onmoku (Swedish TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onmoku (Swedish TV series) Context triple: [My Generation, inspiredBy, Onmoku (Swedish TV series)]
-
A.
Onmoku (Swedish TV series)
chosen
Onmoku is a Swedish television series that served as the inspiration for the American drama series My Generation.
-
B.
Ulveflokk (Swedish TV series)
Ulveflokk is a Swedish television series that served as the inspiration for the American comedy-drama series "The Comedians."
-
C.
Mo i Rana
Mo i Rana is an industrial town in Nordland county, Norway, known for its steel industry, proximity to the Arctic Circle, and role as a regional hub in Northern Norway.
-
D.
Omyènè
Omyènè is an alternative name for Myene, a Bantu language spoken primarily along the coast of Gabon.
-
E.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b1ff0c81908d5dffbaf86c3ca3 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:30 a.m.