Triple
T15415920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Staxxx in My Jeans |
E369228
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Staxxx in My Jeans |
E369228
|
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: Staxxx in My Jeans | Statement: [Staxxx in My Jeans, hasTitle, Staxxx in My Jeans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Staxxx in My Jeans Context triple: [Staxxx in My Jeans, hasTitle, Staxxx in My Jeans]
-
A.
Staxxx in My Jeans
chosen
"Staxxx in My Jeans" is a hip-hop track by Snoop Dogg featured on his album "Ego Trippin'."
-
B.
Down Wit That
"Down Wit That" is a track from Chance the Rapper and Jeremih’s collaborative Christmas-themed mixtape "Merry Christmas Lil Mama."
-
C.
Rockin' That Shit
"Rockin' That Shit" is a 2008 R&B single by singer-songwriter The-Dream, known for its smooth production, catchy hook, and explicit, club-oriented lyrics.
-
D.
In Those Jeans
"In Those Jeans" is a 2003 R&B single by American singer Ginuwine, known for its smooth, sensual style and chart success.
-
E.
White Girl
"White Girl" is a 2016 independent drama film about a college student’s reckless summer of drugs and obsession in New York City, in which Justin Bartha appears.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ea8a8a081909749db1b29d85fcc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7722a08190af230ecafda30b18 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.