Triple
T16183278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qayamat Se Qayamat Tak |
E392737
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object |
Zafar Sultan
Zafar Sultan is a film editor best known for his work on the influential Hindi romantic drama "Qayamat Se Qayamat Tak."
|
E1209004
|
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: Zafar Sultan | Statement: [Qayamat Se Qayamat Tak, editor, Zafar Sultan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zafar Sultan Context triple: [Qayamat Se Qayamat Tak, editor, Zafar Sultan]
-
A.
Gul Hayat Begum
Gul Hayat Begum was the wife of prominent Sindhi nationalist leader and intellectual G. M. Syed.
-
B.
Shahzadi Khanam
Shahzadi Khanam was a Mughal-era noblewoman best known as the daughter of the Bengal Nawab Alivardi Khan.
-
C.
Khanum Sultan Begum
Khanum Sultan Begum was a Mughal princess, known as one of the daughters of the emperor Akbar the Great.
-
D.
Fatima Sultan Agha
Fatima Sultan Agha was a Timurid noblewoman known as the consort of Umar Sheikh Mirza II and a member of the wider Timurid royal household.
-
E.
Salima Sultan Begum
Salima Sultan Begum was a Mughal empress and influential consort in the court of Emperor Akbar, known for her political acumen and high status within the imperial harem.
- 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: Zafar Sultan Triple: [Qayamat Se Qayamat Tak, editor, Zafar Sultan]
Generated description
Zafar Sultan is a film editor best known for his work on the influential Hindi romantic drama "Qayamat Se Qayamat Tak."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zafar Sultan Target entity description: Zafar Sultan is a film editor best known for his work on the influential Hindi romantic drama "Qayamat Se Qayamat Tak."
-
A.
Gul Hayat Begum
Gul Hayat Begum was the wife of prominent Sindhi nationalist leader and intellectual G. M. Syed.
-
B.
Shahzadi Khanam
Shahzadi Khanam was a Mughal-era noblewoman best known as the daughter of the Bengal Nawab Alivardi Khan.
-
C.
Khanum Sultan Begum
Khanum Sultan Begum was a Mughal princess, known as one of the daughters of the emperor Akbar the Great.
-
D.
Fatima Sultan Agha
Fatima Sultan Agha was a Timurid noblewoman known as the consort of Umar Sheikh Mirza II and a member of the wider Timurid royal household.
-
E.
Salima Sultan Begum
Salima Sultan Begum was a Mughal empress and influential consort in the court of Emperor Akbar, known for her political acumen and high status within the imperial harem.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002d9c35248190a5540a692503c989 |
completed | May 10, 2026, 7:02 a.m. |
| NEDg | Description generation | batch_6a002ec2fd948190878af958d0b90ce6 |
completed | May 10, 2026, 7:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00312a4fc48190b6bd6ad9db71bb4d |
completed | May 10, 2026, 7:18 a.m. |
Created at: April 10, 2026, 5:02 a.m.