Triple
T9038779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I'm on Fire |
E216566
|
entity |
| Predicate | hasBside |
P15273
|
FINISHED |
| Object |
Johnny Bye-Bye
Johnny Bye-Bye is a Bruce Springsteen song, best known as a rock and roll–influenced track from his early 1980s period that pays tribute to the spirit and tragedy of rock icon Elvis Presley.
|
E775267
|
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: Johnny Bye-Bye | Statement: [I'm on Fire, hasBside, Johnny Bye-Bye]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Bye-Bye Context triple: [I'm on Fire, hasBside, Johnny Bye-Bye]
-
A.
Bye Bye
"Bye Bye" is a song by the French electronic music duo E=MC².
-
B.
Bye Bye
"Bye Bye" is a pop and R&B ballad by Mariah Carey, known for its emotional tribute to lost loved ones and its inclusion on her 2008 album E=MC².
-
C.
Bye Bye Baby
"Bye Bye Baby" is a song by the American punk rock band Ramones, featured on their 1987 album *Halfway to Sanity*.
-
D.
Bye and Bye
"Bye and Bye" is a country song recorded by the American duo Love and Theft.
-
E.
The Bye Bye Man
The Bye Bye Man is a 2017 American supernatural horror film about a malevolent entity whose power grows when people speak or even think his name.
- 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: Johnny Bye-Bye Triple: [I'm on Fire, hasBside, Johnny Bye-Bye]
Generated description
Johnny Bye-Bye is a Bruce Springsteen song, best known as a rock and roll–influenced track from his early 1980s period that pays tribute to the spirit and tragedy of rock icon Elvis Presley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johnny Bye-Bye Target entity description: Johnny Bye-Bye is a Bruce Springsteen song, best known as a rock and roll–influenced track from his early 1980s period that pays tribute to the spirit and tragedy of rock icon Elvis Presley.
-
A.
Bye Bye
"Bye Bye" is a pop and R&B ballad by Mariah Carey, known for its emotional tribute to lost loved ones and its inclusion on her 2008 album E=MC².
-
B.
Bye Bye
"Bye Bye" is a song by the French electronic music duo E=MC².
-
C.
Bye Bye Baby
"Bye Bye Baby" is a song by the American punk rock band Ramones, featured on their 1987 album *Halfway to Sanity*.
-
D.
Bye and Bye
"Bye and Bye" is a country song recorded by the American duo Love and Theft.
-
E.
The Bye Bye Man
The Bye Bye Man is a 2017 American supernatural horror film about a malevolent entity whose power grows when people speak or even think his name.
- 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_69ca83d10b608190b2b2f8e0a7faaf14 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6ac35db081908222e233933060b0 |
completed | April 1, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfeb8ec0588190a24b4a2aa443399f |
completed | April 3, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69cfef5c5b708190b02d15626a88022b |
completed | April 3, 2026, 4:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfefbeb5cc81908f003b273876e83a |
completed | April 3, 2026, 4:50 p.m. |
Created at: March 30, 2026, 7:09 p.m.