Triple
T2390441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | lawrencium |
E48928
|
entity |
| Predicate | discoveredBy |
P412
|
FINISHED |
| Object |
Torbjørn Sikkeland
Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
|
E264134
|
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: Torbjørn Sikkeland | Statement: [lawrencium, discoveredBy, Torbjørn Sikkeland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Torbjørn Sikkeland Context triple: [lawrencium, discoveredBy, Torbjørn Sikkeland]
-
A.
Trond Giaever
Trond Giaever is the child of Norwegian-American physicist and Nobel laureate Ivar Giaever.
-
B.
Morten Lie
Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
-
C.
Svein Stølen
Svein Stølen is a Norwegian chemist and academic leader who serves as the rector of the University of Oslo.
-
D.
Truls Gerhardsen
Truls Gerhardsen is a Norwegian politician and the son of former Prime Minister Einar Gerhardsen.
-
E.
Geir Karlsen
Geir Karlsen is a Norwegian business executive best known for leading the low-cost airline Norwegian Air Shuttle through a major financial restructuring and recovery.
- 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: Torbjørn Sikkeland Triple: [lawrencium, discoveredBy, Torbjørn Sikkeland]
Generated description
Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Torbjørn Sikkeland Target entity description: Torbjørn Sikkeland was a Norwegian-American physicist known for his role in the discovery of the synthetic element lawrencium at Lawrence Berkeley National Laboratory.
-
A.
Trond Giaever
Trond Giaever is the child of Norwegian-American physicist and Nobel laureate Ivar Giaever.
-
B.
Morten Lie
Morten Lie is a person notable enough to be recognized as a bearer of the surname Lie, though specific widely known public details about him are limited.
-
C.
Svein Stølen
Svein Stølen is a Norwegian chemist and academic leader who serves as the rector of the University of Oslo.
-
D.
Truls Gerhardsen
Truls Gerhardsen is a Norwegian politician and the son of former Prime Minister Einar Gerhardsen.
-
E.
Geir Karlsen
Geir Karlsen is a Norwegian business executive best known for leading the low-cost airline Norwegian Air Shuttle through a major financial restructuring and recovery.
- 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_69a88aa5f63081908d07fd302029fcbd |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc87457388190822d5506327db8f2 |
completed | March 7, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aeb3d4f0608190bcc77a67fa85b963 |
completed | March 9, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_69aeb79b249c8190818bc4daf9eebd2a |
completed | March 9, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69aeb843b8e88190b5e4417a64ce8f49 |
completed | March 9, 2026, 12:08 p.m. |
Created at: March 4, 2026, 7:57 p.m.