Triple
T6631634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pál Schmitt |
E149937
|
entity |
| Predicate | plagiarismScandal |
P29490
|
FINISHED |
| Object | revocation of doctoral degree by Semmelweis University |
—
|
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: revocation of doctoral degree by Semmelweis University | Statement: [Pál Schmitt, plagiarismScandal, revocation of doctoral degree by Semmelweis University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plagiarismScandal Context triple: [Pál Schmitt, plagiarismScandal, revocation of doctoral degree by Semmelweis University]
-
A.
associatedScandal
chosen
Indicates a relationship where an entity is linked to, involved in, or notably connected with a particular scandal.
-
B.
timeOfMajorScandal
Indicates the specific time period during which a major scandal involving the entity occurred.
-
C.
controversy
Indicates a situation in which there is active disagreement, dispute, or public debate between parties over a particular issue, action, or claim.
-
D.
controversyType
Indicates the specific kind or category of controversy associated with an entity or situation.
-
E.
hasBeenSubjectOf
Indicates that an entity has previously been the focus or target of a particular action, process, or investigation.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 1:59 p.m.