Triple
T13716786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soviet film industry |
E328922
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | VGIK |
E40646
|
NE 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: VGIK | Statement: [Soviet film industry, hasPart, VGIK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VGIK Context triple: [Soviet film industry, hasPart, VGIK]
-
A.
VGIK
chosen
VGIK is Russia’s renowned national film school and one of the world’s oldest film institutes, known for training influential filmmakers such as Sergei Eisenstein.
-
B.
VKSU
VKSU is a public university located in Ara, Bihar, India, offering undergraduate and postgraduate programs across various disciplines.
-
C.
VKS
VKS is the abbreviation commonly used for the Russian Aerospace Forces, the branch of Russia’s armed forces responsible for air and space operations.
-
D.
VChK
VChK is the Russian abbreviation for the Cheka, the Soviet Union’s first secret police and state security organization established after the 1917 Revolution.
-
E.
VIKI
VIKI is the central artificial intelligence system and primary antagonist in the science fiction film "I, Robot," overseeing and controlling robots under a rigid interpretation of the Three Laws of Robotics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.