Triple
T23287494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salvatore Antonio Guaragna |
E589928
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The More I See 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: The More I See You | Statement: [Salvatore Antonio Guaragna, notableWork, The More I See You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The More I See You Context triple: [Salvatore Antonio Guaragna, notableWork, The More I See You]
-
A.
The More I See You
chosen
"The More I See You" is a popular romantic song from the 1940s, widely recorded by jazz and pop artists and known for its enduring status as a Great American Songbook standard.
-
B.
You See Me
"You See Me" is a song by the American indie rock band Camp.
-
C.
I See You
"I See You" is the third studio album by English indie pop band The xx, known for its atmospheric production and introspective songwriting.
-
D.
I See You
"I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
-
E.
I See You
"I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19648842c81909756be4bc06b3a45 |
completed | April 29, 2026, 5:25 a.m. |
Created at: April 17, 2026, 5 p.m.