Triple
T13795045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terius Nash |
E331493
|
entity |
| Predicate | wroteSong |
P2831
|
FINISHED |
| Object | I Luv Your Girl |
E600473
|
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 Luv Your Girl | Statement: [Terius Nash, wroteSong, I Luv Your Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Luv Your Girl Context triple: [Terius Nash, wroteSong, I Luv Your Girl]
-
A.
I Luv Your Girl
chosen
"I Luv Your Girl" is an R&B song by singer-songwriter The-Dream, known for its smooth production, seductive lyrics, and popularity in the late 2000s.
-
B.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
C.
A Girl Like You
"A Girl Like You" is an R&B song performed by American singer Kevon Edmonds, known for his smooth vocals and emotive ballad style.
-
D.
I Luv It
"I Luv It" is a popular hip-hop single by American rapper Jeezy, known for its catchy hook and celebration of success and street resilience.
-
E.
My Girl to Me
"My Girl to Me" is a song by the American indie rock band Local Natives from their debut album "Gorilla Manor."
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b08508688190b7e8c33e6b65e25d |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.