Triple
T22126966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up All Night |
E546813
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Same Mistakes |
—
|
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: Same Mistakes | Statement: [Up All Night, hasPart, Same Mistakes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Same Mistakes Context triple: [Up All Night, hasPart, Same Mistakes]
-
A.
Same Mistakes
chosen
"Same Mistakes" is a song by the Australian rock band Meaningless.
-
B.
Same Mistake
"Same Mistake" is a song by British singer-songwriter James Blunt, featured on his second studio album "All the Lost Souls."
-
C.
Same Mistake Twice
"Same Mistake Twice" is a song featured on the album "Evolver."
-
D.
Same Ol’ Mistakes
"Same Ol’ Mistakes" is a song by Rihanna from her 2016 album *Anti*, noted for being a cover of Tame Impala’s track "New Person, Same Old Mistakes."
-
E.
His Mistakes
"His Mistakes" is a track from the R&B album "Here I Stand" by American singer Usher, reflecting themes of regret and relationship struggles.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12981ac008190aafb516f2a28fefc |
completed | April 28, 2026, 9:41 p.m. |
Created at: April 16, 2026, 8:31 p.m.