Triple
T10246302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ungodly Hour |
E240220
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Lonely |
E293990
|
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: Lonely | Statement: [Ungodly Hour, hasPart, Lonely]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lonely Context triple: [Ungodly Hour, hasPart, Lonely]
-
A.
Lonely
chosen
"Lonely" is a 2005 R&B/hip-hop ballad by Akon, known for its distinctive high-pitched sample and themes of heartbreak and regret.
-
B.
The Lonely
"The Lonely" is a 1959 episode of the anthology series The Twilight Zone about a convicted man exiled to a remote asteroid who develops a profound emotional bond with a female robot companion.
-
C.
Mr. Lonely
"Mr. Lonely" is a 2004 R&B single by American singer Bobby V, known for its smooth vocals and themes of romantic longing.
-
D.
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.
-
E.
Only Lonely
"Only Lonely" is a 1985 hard rock song by Bon Jovi from their second album, 7800° Fahrenheit.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7a597188190880200d13784f18f |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:26 a.m.