Triple
T9426183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Swift (album) |
E227269
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Should've Said No |
E798195
|
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: Should've Said No | Statement: [Taylor Swift (album), track, Should've Said No]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Should've Said No Context triple: [Taylor Swift (album), track, Should've Said No]
-
A.
Should've Said No
chosen
"Should've Said No" is a country-pop breakup song by Taylor Swift that appears on her self-titled debut album and became one of her early hit singles.
-
B.
Couldn’t Say No
"Couldn’t Say No" is a song featured on the album "Evolver" by the South African rock band Prime Circle.
-
C.
She Said
"She Said" is a 2022 drama film that chronicles The New York Times investigation into Harvey Weinstein’s sexual misconduct, helping to ignite the #MeToo movement.
-
D.
Say It Isn't So
"Say It Isn't So" is a pop rock song by the American band Crush, known for its melodic hooks and emotional lyrics.
-
E.
Tell Me No
"Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c908738819081df35c632f35f04 |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1102f93488190bd1ae232c1e34830 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:49 p.m.