Triple
T15824831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahib-i-Jamal |
E383710
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object |
Sahib-i-Jamal Begum
Sahib-i-Jamal Begum was a Mughal royal consort known for her marriage into the imperial family during the height of the Mughal Empire in India.
|
E1207061
|
NE FINISHED |
How this triple was built (4 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: Sahib-i-Jamal Begum | Statement: [Sahib-i-Jamal, title, Sahib-i-Jamal Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sahib-i-Jamal Begum Context triple: [Sahib-i-Jamal, title, Sahib-i-Jamal Begum]
-
A.
Nawab Qudsia Begum
Nawab Qudsia Begum was a 19th-century female ruler of the princely state of Bhopal, known for her effective governance and for strengthening the tradition of women’s leadership in the region.
-
B.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
C.
Gul Hayat Begum
Gul Hayat Begum was the wife of prominent Sindhi nationalist leader and intellectual G. M. Syed.
-
D.
Sahiba Banu Begum
Sahiba Banu Begum was a Mughal princess and consort associated with the imperial family during the reign of Emperor Jahangir.
-
E.
Mahlara Begum
Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sahib-i-Jamal Begum Triple: [Sahib-i-Jamal, title, Sahib-i-Jamal Begum]
Generated description
Sahib-i-Jamal Begum was a Mughal royal consort known for her marriage into the imperial family during the height of the Mughal Empire in India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sahib-i-Jamal Begum Target entity description: Sahib-i-Jamal Begum was a Mughal royal consort known for her marriage into the imperial family during the height of the Mughal Empire in India.
-
A.
Nawab Qudsia Begum
Nawab Qudsia Begum was a 19th-century female ruler of the princely state of Bhopal, known for her effective governance and for strengthening the tradition of women’s leadership in the region.
-
B.
Dildar Begum
Dildar Begum was a consort of the Mughal emperor Babur and the mother of his son Hindal Mirza.
-
C.
Gul Hayat Begum
Gul Hayat Begum was the wife of prominent Sindhi nationalist leader and intellectual G. M. Syed.
-
D.
Sahiba Banu Begum
Sahiba Banu Begum was a Mughal princess and consort associated with the imperial family during the reign of Emperor Jahangir.
-
E.
Mahlara Begum
Mahlara Begum was a consort of the Mughal emperor Akbar II during the late Mughal period in India.
- F. None of above. chosen
Provenance (5 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e5f46748190acb46cc482501307 |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025ec39a8819081c0cf996bc59416 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00280686f881909cd2330c018a7e8d |
completed | May 10, 2026, 6:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00285ad1a08190961fdef3f3f991fa |
completed | May 10, 2026, 6:40 a.m. |
Created at: April 10, 2026, 4:49 a.m.