Triple
T23446389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Magic (under Cornelius Fudge) |
E565547
|
entity |
| Predicate | putsOnTrial |
P152322
|
FINISHED |
| Object | Harry Potter for underage magic |
—
|
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: Harry Potter for underage magic | Statement: [Ministry of Magic (under Cornelius Fudge), putsOnTrial, Harry Potter for underage magic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: putsOnTrial Context triple: [Ministry of Magic (under Cornelius Fudge), putsOnTrial, Harry Potter for underage magic]
-
A.
onTrialFor
Indicates that a person is currently being legally prosecuted or judged in court for a specific alleged offense or charge.
-
B.
undergoesTrial
Indicates that an entity is subjected to a formal test, experiment, or legal proceeding to evaluate its behavior, effectiveness, or compliance.
-
C.
trialMode
Indicates that an entity is operating in a temporary, limited-capability trial state rather than in full or permanent mode.
-
D.
hasTrial
Indicates that an entity is associated with a specific trial, such as a legal proceeding, clinical study, or experimental test.
-
E.
trialAfter
Indicates that one trial or legal proceeding occurs subsequent to another in time or sequence.
- F. None of above. chosen
Provenance (4 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64939e4819085862e7482e14879 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f061f92da081908e7f1d0cd1e9b01c |
completed | April 28, 2026, 7:30 a.m. |
| PDg | Predicate description generation | batch_69f07cbbd7488190ab3c8ae7d0fb68bf |
completed | April 28, 2026, 9:24 a.m. |
Created at: April 17, 2026, 5:51 p.m.