Triple
T7650885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nils Gustaf Dalén |
E173247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dalén
Dalén is a Swedish surname most notably associated with Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
|
E679633
|
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: Dalén | Statement: [Nils Gustaf Dalén, familyName, Dalén]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalén Context triple: [Nils Gustaf Dalén, familyName, Dalén]
-
A.
Haslum
Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
-
B.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
C.
Jättendal
Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
-
D.
Lesja
Lesja is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, agriculture, and outdoor recreation opportunities.
-
E.
Eidsberg
Eidsberg is a former municipality and rural town area in southeastern Norway, historically part of Østfold county and known for its agricultural landscape and cultural heritage.
- 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: Dalén Triple: [Nils Gustaf Dalén, familyName, Dalén]
Generated description
Dalén is a Swedish surname most notably associated with Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalén Target entity description: Dalén is a Swedish surname most notably associated with Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
-
A.
Haslum
Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
-
B.
Stordal
Stordal is a small village and former municipality in western Norway, known for its scenic fjord landscape and traditional Norwegian architecture.
-
C.
Jättendal
Jättendal is a small locality in northern Sweden, situated within Nordanstig Municipality in Gävleborg County.
-
D.
Lesja
Lesja is a rural municipality in Innlandet county, Norway, known for its mountainous landscapes, agriculture, and outdoor recreation opportunities.
-
E.
Eidsberg
Eidsberg is a former municipality and rural town area in southeastern Norway, historically part of Østfold county and known for its agricultural landscape and cultural heritage.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70175e4b88190bc40c839a42180d4 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c89ae293148190a30ef03a4a594fe6 |
completed | March 29, 2026, 3:22 a.m. |
| NEDg | Description generation | batch_69c89d2e42fc81908b1ddeb0375b47c8 |
completed | March 29, 2026, 3:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c89d9255e08190b248f0c3fc858bc5 |
completed | March 29, 2026, 3:33 a.m. |
Created at: March 27, 2026, 3:58 p.m.