Triple
T14384319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmond Dantès |
E356683
|
entity |
| Predicate | isWrongfullyImprisoned |
P63058
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Edmond Dantès, isWrongfullyImprisoned, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isWrongfullyImprisoned Context triple: [Edmond Dantès, isWrongfullyImprisoned, true]
-
A.
wrongfullyImprisonedIn
Indicates that an entity was held in prison at a particular place or jurisdiction without legal justification or through unjust legal process.
-
B.
wronglyConvictedPerson
chosen
Indicates that a person has been found guilty and convicted of a crime they did not actually commit.
-
C.
wronglyConvictedGroup
Indicates that a group of entities has been convicted of an offense despite the conviction being incorrect or unjust.
-
D.
memberImprisonedOrPersecuted
Indicates that at least one member of a group has been imprisoned or subjected to persecution.
-
E.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.