Triple
T15004423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shaikh Mubarak Nagori |
E377672
|
entity |
| Predicate | honorificPrefix |
P536
|
FINISHED |
| Object | Shaikh |
E438786
|
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: Shaikh | Statement: [Shaikh Mubarak Nagori, honorificPrefix, Shaikh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shaikh Context triple: [Shaikh Mubarak Nagori, honorificPrefix, Shaikh]
-
A.
Sheikh
chosen
Sheikh is an honorific title in Arabic-speaking and Islamic cultures denoting a leader, elder, or person of high social, religious, or political status.
-
B.
Sheikh Shams
Sheikh Shams is a central holy figure in Yazidism, often associated with the sun and revered as one of the key divine beings in the Yazidi religious tradition.
-
C.
Sheikh Taba
Sheikh Taba is a town located in the Akkar Governorate of northern Lebanon, near the border with Syria.
-
D.
al-Shaykh
al-Shaykh is an Arabic surname notably borne by Lebanese novelist and short story writer Hanan al-Shaykh.
-
E.
Shaikh Mubarak Nagori
Shaikh Mubarak Nagori was a prominent 16th-century Indian Islamic scholar and theologian best known as the father and intellectual influence of the Mughal court historian Abu’l-Fazl.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7322b5c81909089cbbf816e1436 |
completed | April 15, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9dcbd7c88190ad1a302cd0c6ef28 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:54 a.m.