Triple
T11002919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernst Ising |
E260044
|
entity |
| Predicate | hasAcademicThesis |
P16013
|
FINISHED |
| Object | Contribution to the theory of ferromagnetism |
—
|
LITERAL 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: Contribution to the theory of ferromagnetism | Statement: [Ernst Ising, hasAcademicThesis, Contribution to the theory of ferromagnetism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicThesis Context triple: [Ernst Ising, hasAcademicThesis, Contribution to the theory of ferromagnetism]
-
A.
hasAuthorDissertation
chosen
Indicates a relationship where a dissertation is linked to the person who authored it.
-
B.
coreThesis
Indicates that something expresses, embodies, or constitutes the central argument or main claim within a larger work, discussion, or theory.
-
C.
numberOfTheses
Indicates the total count of theses associated with a given entity or context.
-
D.
thesisType
Indicates the specific category or kind of thesis associated with an academic work or degree.
-
E.
hasResearchOutput
Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
- F. None of above.
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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69d72e96be6c8190a46c69f61b2d8cd4 |
completed | April 9, 2026, 4:44 a.m. |
Created at: April 8, 2026, 9:25 p.m.