Triple
T17889159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Once Upon a Mind |
E447268
|
entity |
| Predicate | featuresSong |
P2152
|
FINISHED |
| Object | I Told You |
—
|
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 Told You | Statement: [Once Upon a Mind, featuresSong, I Told You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Told You Context triple: [Once Upon a Mind, featuresSong, I Told You]
-
A.
I Told You
chosen
"I Told You" is the debut studio album by Canadian rapper and singer Tory Lanez, blending rap and R&B with a narrative, skit-driven concept.
-
B.
If I Told You
"If I Told You" is a song featured in the soundtrack of the romantic comedy film *The Wedding Singer*.
-
C.
If I Told You
"If I Told You" is a country ballad by Darius Rucker that reflects on regret and second chances in a heartfelt, introspective style.
-
D.
If I Told You That
"If I Told You That" is an R&B duet by Whitney Houston and George Michael that gained popularity as a single from Houston’s late-1990s musical era.
-
E.
Told You
"Told You" is a song by American country duo Florida Georgia Line from their 2019 album *Can't Say I Ain't Country*.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c15f8b08190ac8d134e32d62d18 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.