Triple
T18223847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The History of the World |
E436372
|
entity |
| Predicate | timeOfAuthorImprisonment |
P130308
|
FINISHED |
| Object | reign of James I of England |
—
|
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: reign of James I of England | Statement: [The History of the World, timeOfAuthorImprisonment, reign of James I of England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfAuthorImprisonment Context triple: [The History of the World, timeOfAuthorImprisonment, reign of James I of England]
-
A.
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.
-
B.
durationOfImprisonment
Indicates the length of time that an entity is or was held in imprisonment.
-
C.
servedPrisonTime
Indicates that an entity has spent a period of time incarcerated in prison as a consequence of a legal sentence.
-
D.
imprisonmentYear
Indicates the specific year in which an entity was imprisoned or placed into custody.
-
E.
hasBeenImprisonedBy
Indicates that one entity has been confined or incarcerated under the authority or control of another entity.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e47d9b348190897d5a1e70b39ec5 |
completed | April 19, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69e4332336cc8190808b9c70c888ba65 |
completed | April 19, 2026, 1:42 a.m. |
| PDg | Predicate description generation | batch_69e438f684e48190b38c64b58c518b6a |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:32 a.m.