Triple
T20863547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Peters |
E513685
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Song of Russia |
—
|
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: Song of Russia | Statement: [Susan Peters, appearedIn, Song of Russia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song of Russia Context triple: [Susan Peters, appearedIn, Song of Russia]
-
A.
Song of Russia
chosen
Song of Russia is a 1944 American romantic musical drama film set in the Soviet Union during World War II, produced by MGM as a piece of wartime pro-Soviet propaganda.
-
B.
Nevsky Express
Nevsky Express is a high-speed Russian passenger train service that operates between Moscow and Saint Petersburg.
-
C.
Volga-Volga
Volga-Volga is a 1938 Soviet musical comedy film, directed by Grigori Aleksandrov and starring Lyubov Orlova, celebrated for its humorous portrayal of amateur musicians traveling to a Moscow competition.
-
D.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
E.
Our Song
"Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c45d2ec4819098abbb901b9fcd87 |
completed | April 21, 2026, 12:27 a.m. |
Created at: April 16, 2026, 12:44 p.m.