Triple
T1229640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | May-Britt Moser |
E26406
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object |
Per Andersen
Per Andersen is a Norwegian neuroscientist renowned for his pioneering work on hippocampal circuitry and synaptic plasticity.
|
E140431
|
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: Per Andersen | Statement: [May-Britt Moser, doctoralAdvisor, Per Andersen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Per Andersen Context triple: [May-Britt Moser, doctoralAdvisor, Per Andersen]
-
A.
Henrik Christensen
Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
-
B.
Niels Torp
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
-
C.
Kristian Eidnes Andersen
Kristian Eidnes Andersen is a Danish film composer and sound designer known for his atmospheric scores and collaborations with prominent European directors.
-
D.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
-
E.
Armin Hansen
Armin Hansen was an American painter known for his dynamic marine scenes and contributions to early 20th-century California art.
- 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: Per Andersen Triple: [May-Britt Moser, doctoralAdvisor, Per Andersen]
Generated description
Per Andersen is a Norwegian neuroscientist renowned for his pioneering work on hippocampal circuitry and synaptic plasticity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Per Andersen Target entity description: Per Andersen is a Norwegian neuroscientist renowned for his pioneering work on hippocampal circuitry and synaptic plasticity.
-
A.
Henrik Christensen
Henrik Christensen is a prominent robotics researcher and academic known for his influential contributions to computer vision, autonomous systems, and robotics education.
-
B.
Niels Torp
Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
-
C.
Kristian Eidnes Andersen
Kristian Eidnes Andersen is a Danish film composer and sound designer known for his atmospheric scores and collaborations with prominent European directors.
-
D.
Rigmor Aasrud
Rigmor Aasrud is a Norwegian Labour Party politician who has held prominent leadership roles in the national parliament and government.
-
E.
Armin Hansen
Armin Hansen was an American painter known for his dynamic marine scenes and contributions to early 20th-century California art.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3dac2c8190914ff27173bb6b34 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a1242048190ba6ffcaacc4ca5d5 |
completed | March 7, 2026, 8:26 p.m. |
| NEDg | Description generation | batch_69ac8a9d03c8819097cea548a31d866d |
completed | March 7, 2026, 8:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8b041e188190ac9e1ce2c2728c94 |
completed | March 7, 2026, 8:31 p.m. |
Created at: March 1, 2026, 7:47 p.m.