Triple
T14104295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dear God 2.0 |
E339463
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Dear God 2.0 |
E339463
|
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: Dear God 2.0 | Statement: [Dear God 2.0, hasTitle, Dear God 2.0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dear God 2.0 Context triple: [Dear God 2.0, hasTitle, Dear God 2.0]
-
A.
Dear God 2.0
chosen
"Dear God 2.0" is a reflective, socially conscious hip-hop track by The Roots featuring Monsters of Folk, known for its questioning of faith and commentary on contemporary struggles.
-
B.
Dear God
"Dear God" is a 1986 song by the English rock band XTC, known for its controversial and thought-provoking lyrics that question the existence and benevolence of God.
-
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.
Yes, God, Yes
Yes, God, Yes is a coming-of-age dramedy film about a Catholic teenager grappling with sexual guilt and religious repression in the early 2000s.
-
E.
So Help Me God!
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.
- 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbd02888190bf07fd6d8769b61c |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b2ade08190a56e9ecf659f83b9 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.