Triple
T12379583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On Top |
E295710
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | I'm Grateful |
E977456
|
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: I'm Grateful | Statement: [On Top, hasTrack, I'm Grateful]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'm Grateful Context triple: [On Top, hasTrack, I'm Grateful]
-
A.
I’m Grateful
chosen
"I'm Grateful" is a song by the Four Tops featured on their 1965 Motown release *Four Tops Second Album*.
-
B.
I’m So Grateful
"I’m So Grateful" is a hit single by the artist Grateful, known for its uplifting, thankful theme.
-
C.
Grateful (song)
"Grateful" is a hip hop track by DJ Khaled featuring Vory, known for its reflective, motivational tone and appearance on his album "God Did."
-
D.
Thank You
"Thank You" is Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
-
E.
Thank You
"Thank You" is a song featured on the jazz standard album "All of Me."
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fb9eca48190aa6612ffc5ed0df2 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634760210819080bc0261aa059132 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:54 p.m.