Triple
T21096056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igor Plotnitsky |
E519767
|
entity |
| Predicate | statusOfEntityLed |
P142831
|
FINISHED |
| Object | self-proclaimed and internationally unrecognized |
—
|
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: self-proclaimed and internationally unrecognized | Statement: [Igor Plotnitsky, statusOfEntityLed, self-proclaimed and internationally unrecognized]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusOfEntityLed Context triple: [Igor Plotnitsky, statusOfEntityLed, self-proclaimed and internationally unrecognized]
-
A.
isStateLed
Indicates that an activity, initiative, or process is directed, controlled, or primarily governed by a state-level authority or government.
-
B.
stateLed
Indicates that an entity is governed, directed, or controlled by a state or governmental authority.
-
C.
hasOnboardLED
Indicates that an entity includes an LED that is physically integrated into its hardware.
-
D.
hasOnboardLEDs
Indicates that one entity is equipped with built-in LED lights as part of its hardware.
-
E.
mediaOutletLed
Indicates that one media outlet had primary leadership, control, or driving influence over another media outlet or a media-related initiative.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5845f88190a16f3df157f0906c |
completed | April 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:52 p.m.