Triple
T1146351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morten Lie |
E23574
|
entity |
| Predicate | nameInLatinAlphabet |
P22444
|
FINISHED |
| Object | Morten Lie |
E23574
|
NE FINISHED |
How this triple was built (2 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: Morten Lie | Statement: [Morten Lie, nameInLatinAlphabet, Morten Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morten Lie Context triple: [Morten Lie, nameInLatinAlphabet, Morten Lie]
-
A.
Morten Lie
chosen
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.
-
B.
Sjur Lie
Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
-
C.
Reidar Lie
Reidar Lie is a Norwegian philosopher and bioethicist known for his work on research ethics, global health, and the ethical dimensions of public health policy.
-
D.
Kjell Lie
Kjell 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.
-
E.
Nils Lie
Nils Lie was a Norwegian judge and legal scholar known for his contributions to Norway’s judicial system in the early 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc6e8c2081909fb3534413b7aacb |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8f6b70d081909c6d6f9c790f6bd6 |
completed | March 7, 2026, 8:49 p.m. |
Created at: March 1, 2026, 7:44 p.m.