Triple
T5245811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Randy Crawford |
E118455
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Almaz
"Almaz" is a soulful 1986 jazz and R&B ballad by American singer Randy Crawford, known for its smooth vocals and romantic, melodic style.
|
E505291
|
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: Almaz | Statement: [Randy Crawford, notableWork, Almaz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almaz Context triple: [Randy Crawford, notableWork, Almaz]
-
A.
Gagarina
Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
-
B.
Baikonur
Baikonur is a town in Kazakhstan historically associated with the Soviet and Russian space programs, giving its name to the nearby Baikonur Cosmodrome.
-
C.
Profsoyuznaya station
Profsoyuznaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
D.
Vyartsilya
Vyartsilya is a small urban-type settlement in the Republic of Karelia, Russia, near the border with Finland.
-
E.
Kozhedub
Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
- 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: Almaz Triple: [Randy Crawford, notableWork, Almaz]
Generated description
"Almaz" is a soulful 1986 jazz and R&B ballad by American singer Randy Crawford, known for its smooth vocals and romantic, melodic style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Almaz Target entity description: "Almaz" is a soulful 1986 jazz and R&B ballad by American singer Randy Crawford, known for its smooth vocals and romantic, melodic style.
-
A.
Gagarina
Gagarina is a Russian surname most notably associated with Yelena Gagarina, the daughter of cosmonaut Yuri Gagarin and a prominent museum director.
-
B.
Baikonur
Baikonur is a town in Kazakhstan historically associated with the Soviet and Russian space programs, giving its name to the nearby Baikonur Cosmodrome.
-
C.
Profsoyuznaya station
Profsoyuznaya station is a stop on the Volgograd Metrotram light rail system in Volgograd, Russia.
-
D.
Vyartsilya
Vyartsilya is a small urban-type settlement in the Republic of Karelia, Russia, near the border with Finland.
-
E.
Kozhedub
Kozhedub is a Slavic surname most famously borne by Ivan Kozhedub, a highly decorated Soviet World War II fighter ace.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b515edc8190a9db198d4eb1c4f6 |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bef832ae8481908a90faf66c1db631 |
completed | March 21, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69bef91bb96c819098b7f6bfa578d9ca |
completed | March 21, 2026, 8:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef9dc9c908190aac0f7bcaf427dfc |
completed | March 21, 2026, 8:04 p.m. |
Created at: March 20, 2026, 1:49 p.m.