Triple
T36917662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Allen |
E913087
|
entity |
| Predicate | wrongfullyConvictedFor |
P165961
|
FINISHED |
| Object | robbery |
—
|
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: robbery | Statement: [James Allen, wrongfullyConvictedFor, robbery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wrongfullyConvictedFor Context triple: [James Allen, wrongfullyConvictedFor, robbery]
-
A.
wronglyConvictedPerson
Indicates that a person has been found guilty and convicted of a crime they did not actually commit.
-
B.
wronglyConvictedGroup
Indicates that a group of entities has been convicted of an offense despite the conviction being incorrect or unjust.
-
C.
wrongfullyImprisonedIn
Indicates that an entity was held in prison at a particular place or jurisdiction without legal justification or through unjust legal process.
-
D.
wronglyAccusedBy
Indicates that one entity has falsely or unjustly accused another entity of wrongdoing.
-
E.
wrongfullyAccusedOf
chosen
Indicates that an entity is unjustly or falsely alleged to have committed a particular act or offense.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdc9f71c8190b8090b0cfec54da5 |
completed | May 5, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.