Triple
T15524041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E-Type |
E369037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Russian Lullaby
"Russian Lullaby" is a popular song written by Irving Berlin in 1927, known for its haunting melody and evocation of Russian musical themes.
|
E1161812
|
NE FINISHED |
How this triple was built (4 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 Lullaby | Statement: [E-Type, notableWork, Russian Lullaby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Russian Lullaby Context triple: [E-Type, notableWork, Russian Lullaby]
-
A.
Lullabye
"Lullabye" is a gentle, atmospheric track by Grizzly Bear featured on their acclaimed album *Yellow House*.
-
B.
Brahms Lullaby
"Brahms Lullaby" is a famous 19th-century cradle song by Johannes Brahms, widely known as one of the most recognizable and frequently performed lullabies in Western music.
-
C.
Lullaby
Lullaby is a film directed by South African filmmaker Darrell Roodt, known for his socially conscious and emotionally driven storytelling.
-
D.
Lullaby
"Lullaby" is a song by Mariah Carey from her 2002 studio album "Charmbracelet."
-
E.
Lullaby
Lullaby is a darkly comic horror novel by Chuck Palahniuk that follows a journalist who discovers a deadly "culling song" capable of killing anyone who hears it.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Russian Lullaby Triple: [E-Type, notableWork, Russian Lullaby]
Generated description
"Russian Lullaby" is a popular song written by Irving Berlin in 1927, known for its haunting melody and evocation of Russian musical themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Russian Lullaby Target entity description: "Russian Lullaby" is a popular song written by Irving Berlin in 1927, known for its haunting melody and evocation of Russian musical themes.
-
A.
Lullabye
"Lullabye" is a gentle, atmospheric track by Grizzly Bear featured on their acclaimed album *Yellow House*.
-
B.
Brahms Lullaby
"Brahms Lullaby" is a famous 19th-century cradle song by Johannes Brahms, widely known as one of the most recognizable and frequently performed lullabies in Western music.
-
C.
Lullaby
Lullaby is a film directed by South African filmmaker Darrell Roodt, known for his socially conscious and emotionally driven storytelling.
-
D.
Lullaby
"Lullaby" is a song by Mariah Carey from her 2002 studio album "Charmbracelet."
-
E.
Lullaby
Lullaby is a darkly comic horror novel by Chuck Palahniuk that follows a journalist who discovers a deadly "culling song" capable of killing anyone who hears it.
- F. None of above. chosen
Provenance (5 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e04143bda08190a2dee44918c1ad1c |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5706948190a1c0f466f7ef8857 |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3e5643088190a9b001ef815ddd3a |
completed | May 9, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3f4456f88190b7fc9b853b0155e4 |
completed | May 9, 2026, 2:05 p.m. |
Created at: April 10, 2026, 4:05 a.m.