Triple
T10963817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crash My Party |
E259043
|
entity |
| Predicate | hasNotableTrack |
P8087
|
FINISHED |
| Object | I See You |
E897236
|
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 See You | Statement: [Crash My Party, hasNotableTrack, I See You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I See You Context triple: [Crash My Party, hasNotableTrack, I See You]
-
A.
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.
-
B.
I See You
chosen
"I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
-
C.
You See Me
"You See Me" is a song by the American indie rock band Camp.
-
D.
I Still See You
I Still See You is a 2018 supernatural thriller film set in a post-apocalyptic world where the living coexist with ghostly remnants of the dead.
-
E.
Do You See
"Do You See" is a 1994 hip hop single by West Coast rapper and producer Warren G, known for its smooth G-funk production and reflective lyrics.
- 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_69d6aa88500c819097d7032ca578e74f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77147f7108190a3b68ba1dd1c130e |
completed | April 9, 2026, 9:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3743d16ac81909c2d4eb11713512b |
completed | April 18, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:23 p.m.