Triple
T15408680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God Forgives, I Don’t |
E368527
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | 3 Kings |
E81983
|
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: 3 Kings | Statement: [God Forgives, I Don’t, hasPart, 3 Kings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3 Kings Context triple: [God Forgives, I Don’t, hasPart, 3 Kings]
-
A.
Three Kings
chosen
Three Kings is a 1999 satirical war film set during the aftermath of the Gulf War, known for blending dark comedy with action and political commentary.
-
B.
Los Reyes
Los Reyes was one of the ships in the late 16th-century Spanish Pacific exploration fleet led by navigator Álvaro de Mendaña de Neira.
-
C.
King of Kings
King of Kings is an ancient imperial title, most famously used by Persian rulers to signify their sovereignty over multiple subordinate kings and vast territories.
-
D.
King of Kings
King of Kings is a reggaeton studio album by Puerto Rican artist Don Omar that became one of the genre’s most commercially successful and influential releases.
-
E.
King of Kings
King of Kings is a divine title emphasizing God's supreme and unrivaled authority over all earthly rulers and powers.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.