Triple
T8176204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Did |
E190941
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | God Did (song) |
E190941
|
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: God Did (song) | Statement: [God Did, hasPart, God Did (song)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: God Did (song) Context triple: [God Did, hasPart, God Did (song)]
-
A.
God Did
chosen
"God Did" is a 2022 hip-hop album by DJ Khaled featuring a wide range of prominent rap and R&B artists and including the Grammy-nominated title track.
-
B.
song "God"
"God" is a 1994 alternative rock song by Tori Amos known for its provocative religious themes, piano-driven arrangement, and feminist perspective.
-
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.
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.
-
E.
Oh My God
Oh My God is a 2013 stand-up comedy special by Louis C.K. known for its dark, observational humor and candid exploration of everyday life and morality.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cced64c9588190b8db6452c364347d |
completed | April 1, 2026, 10:03 a.m. |
Created at: March 30, 2026, 5:40 p.m.