Triple
T17704393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In Custody |
E441391
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Imtiaz Begum
Imtiaz Begum is a character in the Pakistani television drama "In Custody."
|
E1283802
|
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: Imtiaz Begum | Statement: [In Custody, featuresCharacter, Imtiaz Begum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imtiaz Begum Context triple: [In Custody, featuresCharacter, Imtiaz Begum]
-
A.
Munny Begum
Munny Begum was a prominent consort of Nawab Mir Jafar of Bengal who wielded considerable influence in the late 18th-century Nawabi court.
-
B.
Asmat Begum
Asmat Begum was a Mughal noblewoman and relative of Empress Nur Jahan, remembered primarily for her association with the imperial family and her burial in the famed Itmad-ud-Daulah's Tomb in Agra.
-
C.
Wafa Begum
Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
-
D.
Rifa’at Begum
Rifa’at Begum was the wife of Iskander Mirza, the first President of Pakistan, and thus served as Pakistan’s First Lady during his tenure.
-
E.
Gauhar Ara Begum
Gauhar Ara Begum was a Mughal princess, the daughter of Emperor Shah Jahan and his famed consort Mumtaz Mahal, and a member of the imperial family during the empire’s zenith in 17th-century 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: Imtiaz Begum Triple: [In Custody, featuresCharacter, Imtiaz Begum]
Generated description
Imtiaz Begum is a character in the Pakistani television drama "In Custody."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Imtiaz Begum Target entity description: Imtiaz Begum is a character in the Pakistani television drama "In Custody."
-
A.
Munny Begum
Munny Begum was a prominent consort of Nawab Mir Jafar of Bengal who wielded considerable influence in the late 18th-century Nawabi court.
-
B.
Asmat Begum
Asmat Begum was a Mughal noblewoman and relative of Empress Nur Jahan, remembered primarily for her association with the imperial family and her burial in the famed Itmad-ud-Daulah's Tomb in Agra.
-
C.
Wafa Begum
Wafa Begum was a queen consort of the Durrani Empire as the wife of Afghan ruler Shuja Shah Durrani.
-
D.
Rifa’at Begum
Rifa’at Begum was the wife of Iskander Mirza, the first President of Pakistan, and thus served as Pakistan’s First Lady during his tenure.
-
E.
Gauhar Ara Begum
Gauhar Ara Begum was a Mughal princess, the daughter of Emperor Shah Jahan and his famed consort Mumtaz Mahal, and a member of the imperial family during the empire’s zenith in 17th-century 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47296770c8190b6b172fb647da564 |
completed | April 19, 2026, 6:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a023022e50881908a617d2f80e00956 |
completed | May 11, 2026, 7:38 p.m. |
| NEDg | Description generation | batch_6a0231b6005c8190a1d7aa10a61fa7b9 |
completed | May 11, 2026, 7:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a023228e064819095b1d73d0fd2c3c2 |
completed | May 11, 2026, 7:46 p.m. |
Created at: April 10, 2026, 10:05 a.m.