Triple
T16498641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterfall |
E400746
|
entity |
| Predicate | followsInTracklist |
P25512
|
FINISHED |
| Object |
Bye Bye Badman
"Bye Bye Badman" is a song by The Stone Roses, known for its jangly guitar sound and lyrics referencing the May 1968 Paris student riots.
|
E1217241
|
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: Bye Bye Badman | Statement: [Waterfall, followsInTracklist, Bye Bye Badman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bye Bye Badman Context triple: [Waterfall, followsInTracklist, Bye Bye Badman]
-
A.
Bad Boy
Bad Boy is a 1949 American crime drama film about a troubled juvenile delinquent given a final chance at reform.
-
B.
American Bad Boy
American Bad Boy is an independent urban drama film featuring Torrei Hart in a prominent role.
-
C.
Bahd Baddo Baddest
"Bahd Baddo Baddest" is a popular Nigerian hip-hop collaboration track by Falz featuring Olamide and Davido, known for its catchy lyrics and energetic Afro-rap style.
-
D.
Still da Baddest
Still da Baddest is a 2008 studio album by American rapper Trina that showcases her assertive, sexually confident Southern hip hop style.
-
E.
So Bad
"So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
- 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: Bye Bye Badman Triple: [Waterfall, followsInTracklist, Bye Bye Badman]
Generated description
"Bye Bye Badman" is a song by The Stone Roses, known for its jangly guitar sound and lyrics referencing the May 1968 Paris student riots.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bye Bye Badman Target entity description: "Bye Bye Badman" is a song by The Stone Roses, known for its jangly guitar sound and lyrics referencing the May 1968 Paris student riots.
-
A.
Bad Boy
Bad Boy is a 1949 American crime drama film about a troubled juvenile delinquent given a final chance at reform.
-
B.
American Bad Boy
American Bad Boy is an independent urban drama film featuring Torrei Hart in a prominent role.
-
C.
Bahd Baddo Baddest
"Bahd Baddo Baddest" is a popular Nigerian hip-hop collaboration track by Falz featuring Olamide and Davido, known for its catchy lyrics and energetic Afro-rap style.
-
D.
Still da Baddest
Still da Baddest is a 2008 studio album by American rapper Trina that showcases her assertive, sexually confident Southern hip hop style.
-
E.
So Bad
"So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e3505f48190a6891a5f29377212 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058d08f048190b83d3fb69ba8a2c3 |
completed | May 10, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059b5a1f8819089caefc121246739 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:14 a.m.