Triple
T20436429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Very Trainor Christmas |
E501260
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I'll Be Home |
—
|
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: I'll Be Home | Statement: [A Very Trainor Christmas, hasTrack, I'll Be Home]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'll Be Home Context triple: [A Very Trainor Christmas, hasTrack, I'll Be Home]
-
A.
I’ll Be Home
chosen
"I’ll Be Home" is a 1950s doo-wop ballad popularized by The Flamingos, known for its smooth harmonies and romantic style.
-
B.
I'm Going Home
"I'm Going Home" is a 1956 rock and roll song by Mickey & Sylvia, released as the B-side to their hit single "Love Is Strange."
-
C.
Comin’ Home
"Comin’ Home" is a song featured on the album "Let It Go."
-
D.
I’m Coming Home
"I’m Coming Home" is a hit hip hop and pop-rap single by Diddy – Dirty Money featuring Skylar Grey, known for its triumphant, emotional theme of return and redemption.
-
E.
Bring Me Home
Bring Me Home is a novel by British gardener, broadcaster, and author Alan Titchmarsh that blends family drama with themes of heritage and belonging.
- 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.