Triple
T5064999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret of Anjou |
E114120
|
entity |
| Predicate | releasedFromImprisonment |
P13647
|
FINISHED |
| Object | 1475 |
—
|
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: 1475 | Statement: [Margaret of Anjou, releasedFromImprisonment, 1475]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: releasedFromImprisonment Context triple: [Margaret of Anjou, releasedFromImprisonment, 1475]
-
A.
leasedFrom
Indicates that one entity is renting or leasing something from another entity, which acts as the owner or lessor.
-
B.
dateOfImprisonmentEnd
chosen
Indicates the date on which an entity’s period of imprisonment or incarceration comes to an end.
-
C.
releaseOf
Indicates the act or event of something being set free, made available, or discharged from a prior state of containment, control, or restriction.
-
D.
releasedFor
Indicates that something has been made available or authorized for public use, distribution, or access.
-
E.
imprisonedFor
Indicates that one entity is held in detention or jail as a consequence of, or in connection with, a specific reason, action, or offense committed by another entity or itself.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.