Triple
T18912275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymond Reddington |
E462636
|
entity |
| Predicate | providesToFBI |
P133755
|
FINISHED |
| Object | list of dangerous criminals |
—
|
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: list of dangerous criminals | Statement: [Raymond Reddington, providesToFBI, list of dangerous criminals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesToFBI Context triple: [Raymond Reddington, providesToFBI, list of dangerous criminals]
-
A.
joinsFBI
Indicates that an entity becomes a member of, or formally enters into service with, the FBI.
-
B.
positionInFBI
Indicates that one entity holds a specific role or position within the organizational structure of the FBI.
-
C.
intelligenceAgencyInvolved
Indicates that an intelligence agency participates in, influences, or is otherwise involved in the referenced event, operation, or relationship.
-
D.
hasFBIAsOrganizationInPlot
Indicates that the FBI appears as an organization involved in the narrative or storyline of the work.
-
E.
enforcementAgency
Indicates that one entity serves as the authority responsible for enforcing laws, rules, or regulations related to 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c6238e288190b30311b5d80beafb |
completed | April 20, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e9e6488190ba8df92c8058ed88 |
completed | April 19, 2026, 9:39 a.m. |
| PDg | Predicate description generation | batch_69e4ad8e075c8190ad561edc5e520057 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 11:58 a.m.