Triple
T8409562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Barras |
E198586
|
entity |
| Predicate | wasArrestedIn |
P24149
|
FINISHED |
| Object | 1793 |
—
|
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: 1793 | Statement: [Paul Barras, wasArrestedIn, 1793]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasArrestedIn Context triple: [Paul Barras, wasArrestedIn, 1793]
-
A.
arrestedFor
Indicates that an authority has taken someone into custody because they are suspected or accused of committing a specified offense or wrongdoing.
-
B.
arrestedAt
chosen
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
-
C.
arrests
Indicates that one entity, typically an authority figure, seizes and detains another entity under legal or official power.
-
D.
numberOfArrests
Indicates the count of times an entity has been arrested.
-
E.
membersArrestedIn
Indicates that certain members of a group or organization were arrested in a specified location or during a particular event or operation.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8317045c8190b69cc99854b633be |
completed | March 31, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:05 p.m.