Triple
T9186157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tauheed Epps |
E220463
|
entity |
| Predicate | studioAlbum |
P25507
|
FINISHED |
| Object | So Help Me God! |
E214734
|
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: So Help Me God! | Statement: [Tauheed Epps, studioAlbum, So Help Me God!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Help Me God! Context triple: [Tauheed Epps, studioAlbum, So Help Me God!]
-
A.
So Help Me God!
chosen
So Help Me God! is a studio album by American rapper 2 Chainz that showcases his Southern trap style and features a range of high-profile collaborations.
-
B.
So Help Me God
"So Help Me God" is a nonfiction book by theologian Forrest Church that explores the history, meaning, and role of religious faith in American public life.
-
C.
God and Me
"God and Me" is a song from the album *Some Lessons Learned* that reflects on personal faith and an intimate relationship with God.
-
D.
Heaven Help Us All
"Heaven Help Us All" is a socially conscious soul song written by Ron Miller and most famously recorded by Stevie Wonder in 1970.
-
E.
Oh, God!
"Oh, God!" is a 1977 comedy film in which a grocery store clerk is visited by God, played by George Burns, who asks him to spread His message to a skeptical world.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31a52508190a83ccd76f3aa039b |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c1e163c8190bf9a85de7569c14d |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.