Triple
T6736836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Burns |
E153975
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Oh, God! |
E614433
|
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: Oh, God! | Statement: [George Burns, notableWork, Oh, God!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh, God! Context triple: [George Burns, notableWork, Oh, God!]
-
A.
Oh, God!
chosen
"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.
-
B.
Big God
"Big God" is a haunting, piano-driven song by English indie rock band Florence and the Machine, known for its themes of emotional absence and spiritual longing.
-
C.
Waiting for God
"Waiting for God" is a posthumously published collection of spiritual and philosophical essays and letters by Simone Weil that explores themes of faith, suffering, and the search for 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.
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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d1850a288190aa7e647fefbb0ede |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c712a1aa948190b3e191c7be48ac0e |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2:09 p.m.