Triple
T10044684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Forgiver |
E207584
|
entity |
| Predicate | highlightsDivineName |
P50397
|
FINISHED |
| Object | Al-Ghafur |
E840303
|
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: Al-Ghafur | Statement: [The Forgiver, highlightsDivineName, Al-Ghafur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al-Ghafur Context triple: [The Forgiver, highlightsDivineName, Al-Ghafur]
-
A.
Ar-Rahim
Ar-Rahim is one of the 99 Names of Allah in Islam, signifying God as the Especially Merciful whose compassion is continuously bestowed upon His creation.
-
B.
Ghafir
Ghafir is the 40th chapter of the Qur'an, also known as "The Forgiver," which emphasizes God's mercy, forgiveness, and the fate of past nations who denied the truth.
-
C.
Al-Ghaffar
chosen
Al-Ghaffar is an Islamic divine name of God that emphasizes His attribute of repeatedly forgiving and covering the sins of His servants.
-
D.
Ar-Rahman
Ar-Rahman is one of the most significant names of God in Islam, emphasizing His boundless and all-encompassing mercy toward all creation.
-
E.
ʿAzīz
ʿAzīz is an Arabic male given name and epithet meaning “mighty,” “dear,” or “beloved,” commonly used across the Muslim 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_69ca835ad0608190b7c80b292da004f5 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcf62ecf081909c055171b78a883a |
completed | April 2, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cba6971c819090689917cd9b5b7c |
completed | April 5, 2026, 8:52 p.m. |
Created at: March 30, 2026, 8:56 p.m.