Triple
T12926154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cowboy Casanova |
E309248
|
entity |
| Predicate | precededBySingle |
P97
|
FINISHED |
| Object | I Told You So |
E906070
|
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 Told You So | Statement: [Cowboy Casanova, precededBySingle, I Told You So]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Told You So Context triple: [Cowboy Casanova, precededBySingle, I Told You So]
-
A.
I Told You So
chosen
"I Told You So" is a song by Solange Knowles featured on her 2008 R&B/soul album *Sol-Angel and the Hadley St. Dreams*.
-
B.
Told You So
"Told You So" is a song by American singer Miguel from his album "War & Leisure," blending R&B with funk and political undertones.
-
C.
If I Told You
"If I Told You" is a song featured in the soundtrack of the romantic comedy film *The Wedding Singer*.
-
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.
Tell It Like It Is
"Tell It Like It Is" is a track by American R&B artist Ludacris featured on his Grammy-winning album "Release Therapy."
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0eaa3688190b399aa212e16ca08 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 5:42 p.m.