Triple
T9715348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Qurtubi |
E235128
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Muhammad |
E813584
|
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: Muhammad | Statement: [Al-Qurtubi, givenName, Muhammad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muhammad Context triple: [Al-Qurtubi, givenName, Muhammad]
-
A.
Muhammad
Muhammad is the 7th-century Arab religious, political, and social leader regarded by Muslims as the final prophet and messenger of God in Islam.
-
B.
Muhammad ibn al-Hanafiyyah
Muhammad ibn al-Hanafiyyah was a prominent early Islamic figure and son of Ali ibn Abi Talib, known for his piety, scholarship, and role in the political and theological developments following the early caliphates.
-
C.
Mohammad
Mohammad is the given first name of Indonesian independence leader and former vice president Bung Hatta.
-
D.
Mohammad
chosen
Mohammad is a common Arabic male given name, most notably borne by the Prophet of Islam and widely used across the Muslim world.
-
E.
Yusuf as-Siddiq
Yusuf as-Siddiq is a city in Egypt’s Faiyum Governorate, known for its agricultural surroundings and location within the fertile Faiyum Oasis region.
- 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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0a1b548190b34c8571751ca1d3 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af80358881909cdd91f2aed33ef6 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:20 p.m.