Triple
T19952820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genius Loves Company |
E479601
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Sinner's Prayer |
—
|
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: Sinner's Prayer | Statement: [Genius Loves Company, hasTrack, Sinner's Prayer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sinner's Prayer Context triple: [Genius Loves Company, hasTrack, Sinner's Prayer]
-
A.
Sinner's Prayer
chosen
"Sinner's Prayer" is a blues song popularized by artists such as Ray Charles and B.B. King, known for its soulful plea for forgiveness and redemption.
-
B.
Sing, You Sinners
"Sing, You Sinners" is a popular song from the early 20th century American songbook, best known for its lively jazz and swing-era interpretations.
-
C.
A Prayer
"A Prayer" is a poem by James Joyce included in his 1927 collection *Pomes Penyeach*.
-
D.
Ordinary Sinner
Ordinary Sinner is an independent drama film featuring Brendan Hines in a central role, exploring themes of faith, guilt, and moral conflict.
-
E.
Prayer Song
"Prayer Song" is a track featured on the album *Room 25* by rapper and poet Noname.
- 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_69d8e522a17c819095165d4d24939fd8 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65aee23488190bd92c1593fbc241c |
completed | April 20, 2026, 4:57 p.m. |
Created at: April 10, 2026, 1:54 p.m.