Triple
T12925636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Some Hearts |
E309237
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Before He Cheats |
E309247
|
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: Before He Cheats | Statement: [Some Hearts, hasTrack, Before He Cheats]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Before He Cheats Context triple: [Some Hearts, hasTrack, Before He Cheats]
-
A.
Before He Cheats
chosen
"Before He Cheats" is a 2006 country-pop revenge anthem by Carrie Underwood that became one of her signature hits and a crossover mainstream success.
-
B.
Cheating on You
"Cheating on You" is a pop/R&B song by American singer-songwriter Charlie Puth, known for its emotive lyrics about regret and lost love.
-
C.
Cheat on You
"Cheat on You" is a song by the hip hop group Harlem World, featured on their late-1990s debut album.
-
D.
Like a Fool
"Like a Fool" is a song performed by singer-songwriter Gretta James, featured in the film *Begin Again* and known for its intimate, acoustic style.
-
E.
So Cruel
"So Cruel" is a moody, emotionally charged song by U2 from their critically acclaimed 1991 album Achtung Baby.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8d39d4c81908fab65129f292862 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:42 p.m.