Triple
T18030823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alter Ego |
E431383
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | I Wanna Go There |
—
|
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 Wanna Go There | Statement: [Alter Ego, follows, I Wanna Go There]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Wanna Go There Context triple: [Alter Ego, follows, I Wanna Go There]
-
A.
I Wanna Go
"I Wanna Go" is an uptempo dance-pop song by Britney Spears, released as a single from her 2011 album Femme Fatale.
-
B.
I Wanna Go There (album)
chosen
"I Wanna Go There" is an R&B studio album by American singer and actor Tyrese Gibson, featuring the hit single "How You Gonna Act Like That."
-
C.
Where I Go
"Where I Go" is a soulful, groove-driven R&B/hip-hop track by the duo NxWorries (Anderson .Paak and Knxwledge), showcasing their signature blend of smooth vocals and laid-back, sample-based production.
-
D.
I Want to Go with You
"I Want to Go with You" is a 1966 country song and hit single by Eddy Arnold that became one of his signature recordings.
-
E.
Got to Go
"Got to Go" is a song by the South Korean girl group Flo (often stylized as FLOT) known for its catchy K-pop sound and polished production.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be35a70081909d24d36506d18131 |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.