Triple
T29472112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael Tariverdiev |
E747536
|
entity |
| Predicate | hasWorkRecognizedAsClassicIn |
P152975
|
FINISHED |
| Object | Soviet Union |
—
|
NE NERFINISHED |
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: Soviet Union | Statement: [Mikael Tariverdiev, hasWorkRecognizedAsClassicIn, Soviet Union]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorkRecognizedAsClassicIn Context triple: [Mikael Tariverdiev, hasWorkRecognizedAsClassicIn, Soviet Union]
-
A.
hasWorkRecognizedBy
Indicates that one entity’s work, creation, or contribution has been formally acknowledged, honored, or cited by another entity.
-
B.
hasWorkRecognized
chosen
Indicates that an entity’s work, contribution, or achievement has been formally acknowledged or honored by another entity or authority.
-
C.
hasWorkClassificationSystem
Indicates that an entity is associated with a particular system used to classify or organize types of work.
-
D.
hasTraditionalRecognition
Indicates that an entity is acknowledged or honored according to established customs, practices, or longstanding cultural traditions.
-
E.
hasSignificantWorkType
Indicates that an entity is associated with a primary or notably important type or category of work.
- 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_69f0bd42cf308190bb01b20bc5b7c2d0 |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 28, 2026, 3:58 p.m.