Triple
T9343504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Stevens |
E224821
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
So Good
"So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
|
E792925
|
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: So Good | Statement: [Rachel Stevens, notableSong, So Good]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Good Context triple: [Rachel Stevens, notableSong, So Good]
-
A.
So Good
"So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
-
B.
So Good
"So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
-
C.
Something Good
"Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
-
D.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
-
E.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
- 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: So Good Triple: [Rachel Stevens, notableSong, So Good]
Generated description
"So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Good Target entity description: "So Good" is a 2005 pop single by British singer Rachel Stevens, known for its sleek production and dance-pop sound.
-
A.
So Good
"So Good" is a popular hip hop and pop-rap single by American rapper B.o.B, known for its catchy melody and romantic, feel-good lyrics.
-
B.
So Good
"So Good" is the 2017 debut international studio album by Swedish pop singer Zara Larsson, featuring hit singles like "Lush Life" and "Ain't My Fault."
-
C.
Something Good
"Something Good" is a song by composer Richard Rodgers, best known as one of the romantic ballads from the film adaptation of the musical *The Sound of Music*.
-
D.
Be Good
"Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
-
E.
Be Good
"Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb244e88190b269e0bc997f066a |
completed | April 1, 2026, 4:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e410bc348190b0cae142bf850bce |
completed | April 4, 2026, 10:12 a.m. |
| NEDg | Description generation | batch_69d0e5c27ef08190af2edd539358750a |
completed | April 4, 2026, 10:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e638ba5481909b879418ae293739 |
completed | April 4, 2026, 10:21 a.m. |
Created at: March 30, 2026, 7:40 p.m.