Triple
T37312425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Major von Tellheim |
E926237
|
entity |
| Predicate | isWrongedBy |
P122932
|
FINISHED |
| Object | Prussian state authorities in the play |
—
|
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: Prussian state authorities in the play | Statement: [Major von Tellheim, isWrongedBy, Prussian state authorities in the play]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWrongedBy Context triple: [Major von Tellheim, isWrongedBy, Prussian state authorities in the play]
-
A.
acknowledgedAsWrongIn
Indicates that an action, statement, or decision has been recognized and accepted as incorrect within a particular context or by a specific party.
-
B.
wrongedBy
chosen
Indicates that one entity has been harmed, treated unjustly, or suffered a grievance as a result of another entity's actions.
-
C.
misinterpretedBy
Indicates that something (such as a statement, action, or signal) is understood incorrectly or in a way not intended by a particular entity.
-
D.
canBeCorrectedBy
Indicates that something has the potential to be made accurate, fixed, or improved through the intervention or action of a specified agent or method.
-
E.
wronglyAccusedBy
Indicates that one entity has falsely or unjustly accused another entity of wrongdoing.
- 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_69f76eb28af88190b093b32e3fd614ab |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.