Triple
T6729032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lennart Johansson |
E153588
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Lennart |
E266135
|
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: Lennart | Statement: [Lennart Johansson, givenName, Lennart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lennart Context triple: [Lennart Johansson, givenName, Lennart]
-
A.
Lennart
chosen
Lennart is a masculine given name, primarily used in Germanic and Scandinavian countries, that is a cognate of the name Leonard.
-
B.
Lennart Johansson
Lennart Johansson was a Swedish football administrator best known for serving as UEFA president from 1990 to 2007 and overseeing the creation of the UEFA Champions League.
-
C.
Felix Hamrin
Felix Hamrin was a Swedish liberal politician who briefly served as Prime Minister of Sweden during the early 1930s.
-
D.
Svante
Svante is the given name of Swedish geneticist Svante Pääbo, a Nobel Prize–winning pioneer in the field of paleogenomics.
-
E.
Gustav
Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d15591c8819082620d194eba3e9d |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b00ba9c8190aaae2220972ff4f2 |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:08 p.m.