Triple
T9738000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eino Leino |
E236112
|
entity |
| Predicate | familyNameAtBirth |
P18
|
FINISHED |
| Object | Lönnbohm |
E236112
|
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: Lönnbohm | Statement: [Eino Leino, familyNameAtBirth, Lönnbohm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lönnbohm Context triple: [Eino Leino, familyNameAtBirth, Lönnbohm]
-
A.
Lönnbohm
chosen
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
-
B.
Norlén
Norlén is a Swedish surname most notably borne by politician Andreas Norlén, the Speaker of the Riksdag.
-
C.
Norén
Norén is a Swedish surname, notably borne by actress Noomi Rapace before she adopted her stage name.
-
D.
Torgny
Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
-
E.
Liausson
Liausson is a small commune in southern France’s Hérault department, known for its scenic setting on the shores of the artificial Lac du Salagou.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9ef2ba048190811d6f4251fdb270 |
completed | April 1, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bccbb6988190a3733c97d520be67 |
completed | April 5, 2026, 1:37 a.m. |
Created at: March 30, 2026, 8:22 p.m.