Triple
T14766184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Generation |
E347001
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
Onmoku (Swedish TV series)
Onmoku is a Swedish television series that served as the inspiration for the American drama series My Generation.
|
E1119086
|
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: Onmoku (Swedish TV series) | Statement: [My Generation, basedOn, 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, basedOn, Onmoku (Swedish TV series)]
-
A.
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.
-
B.
Omyènè
Omyènè is an alternative name for Myene, a Bantu language spoken primarily along the coast of Gabon.
-
C.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
D.
Ojakkala
Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
-
E.
Ô Môn
Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
- 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: Onmoku (Swedish TV series) Triple: [My Generation, basedOn, Onmoku (Swedish TV series)]
Generated description
Onmoku is a Swedish television series that served as the inspiration for the American drama series My Generation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onmoku (Swedish TV series) Target entity description: Onmoku is a Swedish television series that served as the inspiration for the American drama series My Generation.
-
A.
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.
-
B.
Omyènè
Omyènè is an alternative name for Myene, a Bantu language spoken primarily along the coast of Gabon.
-
C.
Ommen
Ommen is a small historic town and municipality in the Dutch province of Overijssel, known for its scenic river landscapes and tourism.
-
D.
Ojakkala
Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
-
E.
Ô Môn
Ô Môn is an urban district of Cần Thơ in Vietnam’s Mekong Delta, known for its agricultural activities and growing urban development.
- 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_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_69fe0cf68d94819093567bc630f67b60 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1b0056988190b14560470428d895 |
completed | May 8, 2026, 5:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1b97e8148190b23a555b9f2c7f1f |
completed | May 8, 2026, 5:21 p.m. |
Created at: April 10, 2026, 1:30 a.m.