Triple
T14083497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natasha Tameika Cobbs |
E338927
|
entity |
| Predicate | notableSingle |
P3283
|
FINISHED |
| Object | Fill Me Up |
E329661
|
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: Fill Me Up | Statement: [Natasha Tameika Cobbs, notableSingle, Fill Me Up]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fill Me Up Context triple: [Natasha Tameika Cobbs, notableSingle, Fill Me Up]
-
A.
Fill Me Up
chosen
"Fill Me Up" is a popular contemporary gospel worship song performed by Tasha Cobbs, widely known for its passionate, extended praise and live worship style.
-
B.
Fill Me Up
"Fill Me Up" is a song by American singer-songwriter and producer Linda Perry, known for its emotive vocals and introspective lyrics.
-
C.
Fill Me Up
"Fill Me Up" is a song featured on the album "In Flight."
-
D.
Fueled Up
Fueled Up is an episode of the animated television series "Rocket Power," centered on the adventures of a group of extreme sports-loving kids.
-
E.
5 Miles to Empty
5 Miles to Empty is a 1997 R&B single by the American girl group Brownstone, known for its soulful vocals and chart success.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ede40048190b465e909565730c1 |
completed | April 14, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a3e55c81909b52f618e9076dd2 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.