Triple
T19553962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dime Trap |
E489258
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Pray For Me |
—
|
NE NERFINISHED |
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: Pray For Me | Statement: [Dime Trap, hasPart, Pray For Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pray For Me Context triple: [Dime Trap, hasPart, Pray For Me]
-
A.
Pray for Me
"Pray for Me" is a track by Snoop Dogg featured on his album "Doggumentary."
-
B.
Pray for Me
"Pray for Me" is an R&B/soul song by American singer Anthony Hamilton, known for its heartfelt lyrics and gospel-infused sound.
-
C.
Pray for Me
"Pray for Me" is a song by English singer-songwriter Laura Marling from her critically acclaimed 2013 album "Once I Was an Eagle."
-
D.
Pray for Me
chosen
"Pray for Me" is a hip-hop collaboration by The Weeknd and Kendrick Lamar, best known for its cinematic, high-energy role on the Black Panther film soundtrack.
-
E.
I Pray for You
"I Pray for You" is a track by rapper Pusha T featured on his critically acclaimed album "It's Almost Dry."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.