Triple
T7927206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Thang |
E184095
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | With You |
E583296
|
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: With You | Statement: [Miss Thang, hasPart, With You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: With You Context triple: [Miss Thang, hasPart, With You]
-
A.
With You
"With You" is a song featured on the album "Unpredictable" by American R&B singer Jamie Foxx.
-
B.
With You
chosen
"With You" is a track by American rapper Lil Wayne from his album "I Am Not a Human Being."
-
C.
For You
"For You" is a song by Bruce Springsteen from his debut album "Greetings from Asbury Park, N.J.," noted for its vivid storytelling and emotional intensity.
-
D.
Into You
"Into You" is a 2016 dance-pop and EDM-influenced single by Ariana Grande, known for its sultry vocals, infectious chorus, and status as a fan-favorite highlight of her album "Dangerous Woman."
-
E.
It's You
"It's You" is a studio album by American progressive rock and jam band Umphrey's McGee, known for its intricate musicianship and genre-blending compositions.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aafdb5c8190b7f2ce5349305f78 |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5643fd3081908fc9a413a7920145 |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:07 p.m.