Triple
T11898855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flower Boy |
E283099
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | 911 / Mr. Lonely |
E768167
|
NE FINISHED |
How this triple was built (2 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: 911 / Mr. Lonely | Statement: [Flower Boy, notableSingle, 911 / Mr. Lonely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 911 / Mr. Lonely Context triple: [Flower Boy, notableSingle, 911 / Mr. Lonely]
-
A.
Mr. Lonely
chosen
"Mr. Lonely" is a 2004 R&B single by American singer Bobby V, known for its smooth vocals and themes of romantic longing.
-
B.
Lonesome Number One
"Lonesome Number One" is a country song by American singer-songwriter Don Gibson, known for its classic heartbreak theme and traditional Nashville sound.
-
C.
The Lonely Guy
The Lonely Guy is a 1984 romantic comedy film starring Steve Martin as a newly single man navigating loneliness and modern dating in New York City.
-
D.
Only Lonely
"Only Lonely" is a 1985 hard rock song by Bon Jovi from their second album, 7800° Fahrenheit.
-
E.
So Lonely
"So Lonely" is a 1978 reggae-influenced rock song by the British band The Police, known for its catchy melody and themes of isolation and heartache.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd13cc10819089d8d5103e562924 |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4182f18c08190b22706b024d60dd7 |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.