Triple
T20268232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Type of Love |
E499023
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Suffer |
—
|
NE NERFINISHED |
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: Suffer | Statement: [Some Type of Love, hasTrack, Suffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suffer Context triple: [Some Type of Love, hasTrack, Suffer]
-
A.
Suffer
"Suffer" is an R&B-influenced pop song by American singer-songwriter Charlie Puth, known for its falsetto vocals and emotionally charged lyrics about heartbreak.
-
B.
Suffer
chosen
Suffer is a landmark 1988 punk rock album by Bad Religion that helped define the melodic hardcore sound and revitalized the Southern California punk scene.
-
C.
Suffer
"Suffer" is a hard-hitting drill/rap track by Chicago rapper Lud Foe known for its aggressive delivery and street-focused lyrics.
-
D.
Always Suffering
"Always Suffering" is a song by the Rolling Stones from their 1997 album *Bridges to Babylon*, noted for its reflective, melancholic tone.
-
E.
I Suffer Well
"I Suffer Well" is a song by Depeche Mode, featured as a track on their 2005 studio album "Playing the Angel."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dbb7ac8190a40c527f2c02ca50 |
completed | April 20, 2026, 6:52 p.m. |
Created at: April 11, 2026, 11:42 p.m.