Triple
T23299017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niklas Luhmann |
E590250
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Luhmann |
—
|
NE NERFINISHED |
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: Luhmann | Statement: [Niklas Luhmann, familyName, Luhmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luhmann Context triple: [Niklas Luhmann, familyName, Luhmann]
-
A.
Niklas Luhmann
chosen
Niklas Luhmann was a German sociologist and social systems theorist known for developing a comprehensive theory of society based on the concept of self-referential social systems.
-
B.
Lindtman
Lindtman is a Finnish surname most notably borne by politician Antti Lindtman.
-
C.
Heinz von Foerster (born Heinz von Foerster-Wolff)
Heinz von Foerster (born Heinz von Foerster-Wolff) was an Austrian-American physicist and philosopher best known as a pioneer of cybernetics and second-order systems theory.
-
D.
Lehmann
Lehmann is a German-language surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
-
E.
Stafford Beer
Stafford Beer was a British theorist and consultant who pioneered the application of cybernetics to management and organizational design, notably through his Viable System Model.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e25d1c0ecc8190a355aa229f06d0e0 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196d133448190bf350a9f51c1531c |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:03 p.m.