Triple
T6026263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fedor Reingold |
E134188
|
entity |
| Predicate | wasPortrayedByAuthoritiesAs |
P55200
|
FINISHED |
| Object | enemy of the people |
—
|
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: enemy of the people | Statement: [Fedor Reingold, wasPortrayedByAuthoritiesAs, enemy of the people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasPortrayedByAuthoritiesAs Context triple: [Fedor Reingold, wasPortrayedByAuthoritiesAs, enemy of the people]
-
A.
wasPortrayedAs
chosen
Indicates that one entity has been depicted or represented in the form or role of another entity, typically within some medium or context.
-
B.
portrayalLedTo
Indicates that one entity’s portrayal of another caused or significantly contributed to a subsequent outcome, reaction, or state involving that other entity.
-
C.
portrayedAsFrom
Indicates that one entity is depicted or represented as originating from, or belonging to, the place or source specified by another entity.
-
D.
portraysAsVictim
Indicates that one entity represents or depicts another entity as a victim in a given context or narrative.
-
E.
wereInternedBy
Indicates that an entity was forcibly confined, detained, or held in an internment facility by another entity (typically an authority or government).
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0560cdc308190b25ca8ecb42c4e4f |
completed | March 22, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.