Triple
T3783477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anti |
E85471
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Needed Me |
E388140
|
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: Needed Me | Statement: [Anti, track, Needed Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Needed Me Context triple: [Anti, track, Needed Me]
-
A.
Needed Me
chosen
"Needed Me" is a 2016 trap-soul and R&B song by Rihanna, known for its dark, minimalist production and themes of empowerment and emotional detachment.
-
B.
You Need Me
"You Need Me" is a song by Mariah Carey from her self-titled debut album, showcasing her early pop and R&B style and vocal prowess.
-
C.
Lord I Need You
"Lord I Need You" is a gospel-influenced hip-hop song by Kanye West, notable for its emotional reflection on faith and relationships.
-
D.
I Know What You Need
"I Know What You Need" is a psychological horror short story by Stephen King about a college student who discovers the dark, supernatural source of her seemingly perfect boyfriend’s ability to anticipate her desires.
-
E.
I Need More
"I Need More" is a track from The Wallflowers' 2012 album "Glad All Over."
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee3dc6590819098dda08206206612 |
completed | March 9, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb19229c8190a6f0ee4ae7f52dab |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 9, 2026, 3:13 p.m.