Triple
T12792086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lasse |
E305791
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Laurits |
E653518
|
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: Laurits | Statement: [Lasse, relatedName, Laurits]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurits Context triple: [Lasse, relatedName, Laurits]
-
A.
Laurits
chosen
Laurits is a given name, primarily used in Scandinavian countries, that is a variant of the name Lars.
-
B.
Laustsen
Laustsen is a Danish surname most notably associated with acclaimed cinematographer Dan Laustsen.
-
C.
Ulrik
Ulrik is a masculine given name of Scandinavian origin, commonly used in countries like Denmark and Norway and related to the German name Ulrich.
-
D.
Lauri
Lauri is a Finnish given name commonly used for men, notably borne by former President of Finland Lauri Kristian Relander.
-
E.
Niels
Niels is the given name of the pioneering Norwegian mathematician Niels Henrik Abel, known for his foundational work in algebra and analysis.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6b55248190ab938e69eb263612 |
completed | April 10, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6850ac1808190a9b547d934252d10 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:30 p.m.