Triple
T7685711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kai Siegbahn |
E174109
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Manne Siegbahn |
E159824
|
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: Manne Siegbahn | Statement: [Kai Siegbahn, father, Manne Siegbahn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manne Siegbahn Context triple: [Kai Siegbahn, father, Manne Siegbahn]
-
A.
Manne Siegbahn
chosen
Manne Siegbahn was a Swedish physicist and Nobel laureate renowned for his pioneering work in X-ray spectroscopy and atomic physics.
-
B.
Kai Siegbahn
Kai Siegbahn was a Swedish physicist and Nobel laureate renowned for his pioneering work in high-resolution electron spectroscopy.
-
C.
Arne Tiselius
Arne Tiselius was a Swedish biochemist and Nobel laureate renowned for his pioneering work in electrophoresis and protein chemistry.
-
D.
Max von Laue
Max von Laue was a German physicist and Nobel laureate renowned for his discovery of X-ray diffraction in crystals, which provided crucial evidence for the wave nature of X-rays and the atomic structure of matter.
-
E.
Johannes Rydberg
Johannes Rydberg was a Swedish physicist best known for formulating the Rydberg formula, which accurately predicts the wavelengths of spectral lines of many chemical elements.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7022118908190a3a93cfda79be0a4 |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a25c2a308190908ffdd2f0b7262f |
completed | March 29, 2026, 3:54 a.m. |
Created at: March 27, 2026, 4:02 p.m.