Triple
T18150355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simply Red |
E434483
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Stars
"Stars" is a 1991 pop-soul album by British band Simply Red, known for its smooth, melodic sound and significant commercial success.
|
E1310153
|
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: Stars | Statement: [Simply Red, notableWork, Stars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stars Context triple: [Simply Red, notableWork, Stars]
-
A.
Stars
Stars is a common team name used by various sports franchises, notably including the former American Basketball Association team the Utah Stars.
-
B.
Star
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
-
C.
Star
Star is the costumed mascot character for the WNBA’s Atlanta Dream, entertaining fans and representing the team at games and events.
-
D.
Star
"Star" is a musical drama television series created by Lee Daniels and Tom Donaghy that follows three talented young singers navigating the challenges of the music industry in Atlanta.
-
E.
Star
Star is the surname of American television producer, director, and writer Darren Star, best known for creating hit series such as "Sex and the City" and "Beverly Hills, 90210."
- 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: Stars Triple: [Simply Red, notableWork, Stars]
Generated description
"Stars" is a 1991 pop-soul album by British band Simply Red, known for its smooth, melodic sound and significant commercial success.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stars Target entity description: "Stars" is a 1991 pop-soul album by British band Simply Red, known for its smooth, melodic sound and significant commercial success.
-
A.
Stars
Stars is a common team name used by various sports franchises, notably including the former American Basketball Association team the Utah Stars.
-
B.
Star
Star was an automobile marque produced by Durant Motors in the 1920s as a lower-priced competitor to brands like Ford and Chevrolet.
-
C.
Star
Star is the costumed mascot character for the WNBA’s Atlanta Dream, entertaining fans and representing the team at games and events.
-
D.
Star
"Star" is a musical drama television series created by Lee Daniels and Tom Donaghy that follows three talented young singers navigating the challenges of the music industry in Atlanta.
-
E.
Star
Star is the surname of American television producer, director, and writer Darren Star, best known for creating hit series such as "Sex and the City" and "Beverly Hills, 90210."
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3812e8819097f025476d5c6a1d |
completed | April 19, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a038fb71b188190abbd1c2b863ae1fd |
completed | May 12, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_6a03915b8a748190bf168a308e4c638c |
completed | May 12, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0392118b84819081252eb438ed5654 |
completed | May 12, 2026, 8:48 p.m. |
Created at: April 10, 2026, 10:29 a.m.