Triple
T5812940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galina "Red" Reznikov |
E128913
|
entity |
| Predicate | roleInPrison |
P19980
|
FINISHED |
| Object | kitchen boss |
—
|
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: kitchen boss | Statement: [Galina "Red" Reznikov, roleInPrison, kitchen boss]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInPrison Context triple: [Galina "Red" Reznikov, roleInPrison, kitchen boss]
-
A.
prisonRole
chosen
Indicates a role or function that an entity holds within the context or system of a prison.
-
B.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
C.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
D.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
E.
roleInCrime
Indicates the specific function, responsibility, or participation an entity has within the commission of a particular crime.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b56044c8190847478a342d441c2 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.