Triple
T20877917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James "Whitey" Bulger |
E514067
|
entity |
| Predicate | governmentCorruptionAspect |
P129921
|
FINISHED |
| Object | relationship with corrupt FBI agents |
—
|
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: relationship with corrupt FBI agents | Statement: [James "Whitey" Bulger, governmentCorruptionAspect, relationship with corrupt FBI agents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: governmentCorruptionAspect Context triple: [James "Whitey" Bulger, governmentCorruptionAspect, relationship with corrupt FBI agents]
-
A.
courtCorruption
Indicates that a court or judicial body is involved in corrupt practices, such as bribery, bias, or abuse of legal authority.
-
B.
corruptionLevel
Indicates the degree or extent to which unethical, illegal, or dishonest practices are present or influential in a given context.
-
C.
hasCorruptOfficials
chosen
Indicates that an entity possesses or is associated with officials who engage in corrupt or unethical behavior.
-
D.
courtCorruptionLevel
Indicates the degree to which a court is affected by corrupt practices or improper influence in its decisions and operations.
-
E.
electoralCorruptionPerception
Indicates the extent to which elections are perceived as being influenced by corrupt practices such as bribery, fraud, or undue manipulation.
- 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
| PD | Predicate disambiguation | batch_69e5c9a8dc148190b33ff51894e2a8f9 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:45 p.m.