Triple
T10404676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Panther: The Album |
E245230
|
entity |
| Predicate | notableTrack |
P8087
|
FINISHED |
| Object |
Pray for Me
"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.
|
E861785
|
NE FINISHED |
How this triple was built (4 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: [Black Panther: The Album, notableTrack, Pray for Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pray for Me Context triple: [Black Panther: The Album, notableTrack, 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.
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."
-
E.
My Prayer
"My Prayer" is a 1956 doo-wop ballad by The Platters that became one of their signature hits, noted for its lush harmonies and romantic style.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pray for Me Triple: [Black Panther: The Album, notableTrack, Pray for Me]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pray for Me Target entity description: "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.
-
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.
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."
-
E.
My Prayer
"My Prayer" is a 1956 doo-wop ballad by The Platters that became one of their signature hits, noted for its lush harmonies and romantic style.
- F. None of above. chosen
Provenance (5 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e5fb58819081d7d3e1dc625197 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbe721b48190a4fd0c1d839c580e |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:08 p.m.