Triple
T12256100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olof Lagercrantz |
E292104
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Olof Lagercrantz |
E292104
|
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: Olof Lagercrantz | Statement: [Olof Lagercrantz, name, Olof Lagercrantz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olof Lagercrantz Context triple: [Olof Lagercrantz, name, Olof Lagercrantz]
-
A.
Olof Lagercrantz
chosen
Olof Lagercrantz was a prominent Swedish literary critic, writer, and newspaper editor known for his influential essays and biographies.
-
B.
Peter Johansson
Peter Johansson is a figure skating coach known for training elite skaters such as Emily Hughes.
-
C.
Göran Sonnevi
Göran Sonnevi is a Swedish poet renowned for his intellectually dense, politically engaged, and formally experimental poetry.
-
D.
Olle Lundin
Olle Lundin is a film editor best known for his work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Göran Rosenberg
Göran Rosenberg is a Swedish journalist, author, and public intellectual known for his works on politics, history, and the Jewish experience in Sweden.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cc9dd5081908880061d52351850 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63461cacc81909958fbd745e5d065 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.