Triple
T14378474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alma Media |
E356535
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Alma Consumer
Alma Consumer is a business unit of the Finnish media company Alma Media that focuses on consumer-facing digital and print media services and products.
|
E1095998
|
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: Alma Consumer | Statement: [Alma Media, hasSubsidiary, Alma Consumer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alma Consumer Context triple: [Alma Media, hasSubsidiary, Alma Consumer]
-
A.
Alma
Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
-
B.
Alma
Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
-
C.
Alma
Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
-
D.
Alma
Alma is a small industrial and service city in Quebec, Canada, located in the Saguenay–Lac-Saint-Jean region and known for its aluminum production and proximity to Lac Saint-Jean.
-
E.
Alma Jr.
Alma Jr. is a fictional character from the film and short story "Brokeback Mountain," the daughter of Ennis Del Mar and Alma Beers Del Mar.
- 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: Alma Consumer Triple: [Alma Media, hasSubsidiary, Alma Consumer]
Generated description
Alma Consumer is a business unit of the Finnish media company Alma Media that focuses on consumer-facing digital and print media services and products.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alma Consumer Target entity description: Alma Consumer is a business unit of the Finnish media company Alma Media that focuses on consumer-facing digital and print media services and products.
-
A.
Alma
Alma is a historic wooden scow schooner preserved as a museum ship in San Francisco, representing the city’s 19th- and early 20th-century maritime commerce.
-
B.
Alma
Alma is a historic British Army battle honour commemorating the Battle of the Alma in the Crimean War.
-
C.
Alma
Alma is a feminine given name of Latin origin meaning "nourishing" or "kind," used in various cultures around the world.
-
D.
Alma
Alma is a small industrial and service city in Quebec, Canada, located in the Saguenay–Lac-Saint-Jean region and known for its aluminum production and proximity to Lac Saint-Jean.
-
E.
Alma Jr.
Alma Jr. is a fictional character from the film and short story "Brokeback Mountain," the daughter of Ennis Del Mar and Alma Beers Del Mar.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900a67e08190ab1dcf36e6bb3405 |
completed | April 14, 2026, 7:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5728fc819089ef3c7c34b10101 |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4e4bae188190a8d1c5b833d58cd8 |
completed | May 8, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4f5782b4819081d32dbef032ac61 |
completed | May 8, 2026, 2:49 a.m. |
Created at: April 10, 2026, 1:16 a.m.