Triple
T1261307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | @wiumlie |
E12506
|
entity |
| Predicate | accountOf |
P2830
|
FINISHED |
| Object | Håkon Wium Lie |
E1900
|
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: Håkon Wium Lie | Statement: [@wiumlie, accountOf, Håkon Wium Lie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Håkon Wium Lie Context triple: [@wiumlie, accountOf, Håkon Wium Lie]
-
A.
Håkon Wium Lie
chosen
Håkon Wium Lie is a Norwegian web pioneer best known as the creator of Cascading Style Sheets (CSS) and a key figure in the development of open web standards.
-
B.
Sjur Lie
Sjur Lie is a Norwegian mathematician known for his contributions to differential geometry and the theory of Lie groups.
-
C.
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.
-
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.
Haakon Lie
Haakon Lie was a prominent Norwegian politician and long-serving Labour Party secretary who played a key role in shaping Norway’s post–World War II political landscape.
- 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_69a4933352e08190ac617291985e76c0 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4bfc64e648190b9c4f980eb8168aa |
completed | March 1, 2026, 10:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c93bbe8819092dab6a3ed616998 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 7:50 p.m.