Triple
T4791300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talal |
E106605
|
entity |
| Predicate | writingVariant |
P2203
|
FINISHED |
| Object | Ṭalāl |
E106605
|
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: Ṭalāl | Statement: [Talal, writingVariant, Ṭalāl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ṭalāl Context triple: [Talal, writingVariant, Ṭalāl]
-
A.
Talal
chosen
Talal is a masculine given name of Arabic origin commonly used across the Arab world.
-
B.
Quddus
Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
-
C.
Tahir
Tahir is a common Arabic-origin surname used by various notable individuals across the Muslim world and diaspora.
-
D.
Rawdah
Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
-
E.
Al-A'la
Al-A'la is the Arabic name of a Meccan chapter of the Qur'an that praises and glorifies the Most High God.
- 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_69bd43f591c881909e5a532388b0f3f3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6c40b3c881909be9fd9ee892993b |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d96f7e88190be4ba5c7ceb07608 |
completed | March 21, 2026, 7:49 a.m. |
Created at: March 20, 2026, 1:22 p.m.