Triple
T2044371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joanna of Castile |
E45415
|
entity |
| Predicate | causeOfPoliticalMarginalization |
P33526
|
FINISHED |
| Object | alleged mental illness |
—
|
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: alleged mental illness | Statement: [Joanna of Castile, causeOfPoliticalMarginalization, alleged mental illness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfPoliticalMarginalization Context triple: [Joanna of Castile, causeOfPoliticalMarginalization, alleged mental illness]
-
A.
excludedFromPoliticalRights
Indicates that an entity is denied or deprived of participation in political rights, such as voting, holding office, or engaging in formal political decision-making.
-
B.
causeOfPersecution
chosen
Indicates that one entity is the reason or basis for another entity being persecuted.
-
C.
causeOfExile
Indicates the reason or circumstance that led to an entity’s exile.
-
D.
hasPoliticalAlignmentOfVictims
Indicates that an entity is associated with victims characterized by a particular political alignment.
-
E.
politicalRepercussion
Indicates that an action, event, or decision leads to consequences or fallout within a political context, such as shifts in power, public opinion, or policy.
- 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_69a8891948208190ab7898da21824c77 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abbc2c3f6c8190aff07097b2654e52 |
completed | March 7, 2026, 5:48 a.m. |
| PD | Predicate disambiguation | batch_69abb7aa00d4819086d347d9a08f81a0 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:39 p.m.