Triple
T19900988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nawab Shah Abbas |
E478286
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Birjis Qadr |
—
|
NE NERFINISHED |
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: Birjis Qadr | Statement: [Nawab Shah Abbas, associatedWith, Birjis Qadr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birjis Qadr Context triple: [Nawab Shah Abbas, associatedWith, Birjis Qadr]
-
A.
Birjis Qadr
chosen
Birjis Qadr was the son of Begum Hazrat Mahal who briefly became the Nawab of Awadh during the Indian Rebellion of 1857.
-
B.
Nasir-ud-Din
Nasir-ud-Din was a 14th-century Sultan of Delhi from the Tughlaq dynasty who ruled during a period of political instability and dynastic decline.
-
C.
Tāj al-Dīn
Tāj al-Dīn is an honorific title meaning "Crown of the Religion," borne by the influential Egyptian Sufi scholar and spiritual master Ibn ‘Ata’ Allah al-Iskandari.
-
D.
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.
-
E.
Al-Dhali'
Al-Dhali' is a governorate in southwestern Yemen known for its mountainous terrain and role in the country’s recent political and military conflicts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65941977081909e2f94724eb2c3c0 |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.