Triple
T20436414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Very Trainor Christmas |
E501260
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Treat Myself |
—
|
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: Treat Myself | Statement: [A Very Trainor Christmas, follows, Treat Myself]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treat Myself Context triple: [A Very Trainor Christmas, follows, Treat Myself]
-
A.
Treat Myself
chosen
Treat Myself is a pop album by American singer-songwriter Meghan Trainor that blends upbeat, self-empowerment anthems with contemporary production.
-
B.
True 2 Myself
True 2 Myself is the 2019 debut studio album by American rapper Lil Tjay, showcasing his melodic drill-influenced style and themes of struggle, heartbreak, and personal growth.
-
C.
For Myself
"For Myself" is a song featured on the album "On Your Radar" by the British-Irish girl group The Saturdays.
-
D.
Good For Me
"Good For Me" is a melodic trance track by British electronic music group Above & Beyond, known for its emotive vocals and uplifting, atmospheric production.
-
E.
Good for Me
"Good for Me" is a 1991 pop and contemporary Christian crossover hit by Amy Grant, known for its upbeat sound and mainstream chart success.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
Created at: April 16, 2026, 11:31 a.m.