Triple
T5815228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatyana Tolstaya |
E128967
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Russian television |
E448632
|
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: Russian television | Statement: [Tatyana Tolstaya, employer, Russian television]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russian television Context triple: [Tatyana Tolstaya, employer, Russian television]
-
A.
Russian state television
chosen
Russian state television is the network of state-controlled TV channels in Russia that serve as the government’s primary tool for nationwide news, information, and political messaging.
-
B.
Soviet television
Soviet television was the state-controlled broadcasting system of the USSR, responsible for producing and transmitting television programs across the Soviet Union.
-
C.
Radio Moscow
Radio Moscow is an American psychedelic blues-rock band known for its heavy, vintage-inspired sound and guitar-driven performances.
-
D.
NTV
NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
-
E.
RU
RU is the common abbreviation for Radboud University Nijmegen, a major research university located in Nijmegen, the Netherlands.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0336344148190bcf417c0b9617cb9 |
completed | March 22, 2026, 6:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0984c5f14819096dfabce4a83e332 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.