Triple
T23051369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingebrigt Steen Jensen |
E574022
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ona fyr
Ona fyr is a popular Norwegian non-fiction book by Ingebrigt Steen Jensen that blends business advice, motivation, and storytelling to inspire organizational and personal development.
|
E1568509
|
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: Ona fyr | Statement: [Ingebrigt Steen Jensen, notableWork, Ona fyr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ona fyr Context triple: [Ingebrigt Steen Jensen, notableWork, Ona fyr]
-
A.
Fyra
Fyra was a high-speed train service brand used for international and domestic routes between the Netherlands and Belgium, known for its troubled rollout and eventual discontinuation.
-
B.
Fonyód
Fonyód is a Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, marinas, and panoramic views of the lake and surrounding hills.
-
C.
Onyaanya
Onyaanya is a settlement in northern Namibia’s Oshikoto Region, known as a rural community center in the area.
-
D.
Foyr
Foyr is a village in the municipality of Jalhay in the province of Liège, Belgium.
-
E.
Onhan
Onhan is an Austronesian language spoken primarily in the province of Romblon in the Philippines.
- 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: Ona fyr Triple: [Ingebrigt Steen Jensen, notableWork, Ona fyr]
Generated description
Ona fyr is a popular Norwegian non-fiction book by Ingebrigt Steen Jensen that blends business advice, motivation, and storytelling to inspire organizational and personal development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ona fyr Target entity description: Ona fyr is a popular Norwegian non-fiction book by Ingebrigt Steen Jensen that blends business advice, motivation, and storytelling to inspire organizational and personal development.
-
A.
Fyra
Fyra was a high-speed train service brand used for international and domestic routes between the Netherlands and Belgium, known for its troubled rollout and eventual discontinuation.
-
B.
Fonyód
Fonyód is a Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, marinas, and panoramic views of the lake and surrounding hills.
-
C.
Onyaanya
Onyaanya is a settlement in northern Namibia’s Oshikoto Region, known as a rural community center in the area.
-
D.
Foyr
Foyr is a village in the municipality of Jalhay in the province of Liège, Belgium.
-
E.
Onhan
Onhan is an Austronesian language spoken primarily in the province of Romblon in the Philippines.
- 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_69e245ba7ae48190be606dbc54120e39 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867d010c8190bc5dba6758d0b797 |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c0ae036908190a6cdcb74e0d28f82 |
completed | May 19, 2026, 7:01 a.m. |
| NEDg | Description generation | batch_6a0c0e2dd7908190afa879304ef3ed17 |
completed | May 19, 2026, 7:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c0eaa7f8c81908110341d34d92537 |
completed | May 19, 2026, 7:18 a.m. |
Created at: April 17, 2026, 3:54 p.m.