Triple
T9950162
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mir Mahbub Ali Khan |
E195308
|
entity |
| Predicate | mother |
P120
|
FINISHED |
| Object |
Arsalan Jah
Arsalan Jah was a royal consort associated with the Asaf Jahi dynasty of Hyderabad and the mother of Mir Mahbub Ali Khan, the sixth Nizam of Hyderabad.
|
E830031
|
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: Arsalan Jah | Statement: [Mir Mahbub Ali Khan, mother, Arsalan Jah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arsalan Jah Context triple: [Mir Mahbub Ali Khan, mother, Arsalan Jah]
-
A.
Sarmad Kashani
Sarmad Kashani was a 17th-century Persian-Armenian mystic, poet, and Sufi saint known for his unorthodox spirituality and eventual execution in Mughal India.
-
B.
Gobi Rahimi
Gobi Rahimi is a music video director best known for his work with Tupac Shakur during the 1990s West Coast hip-hop era.
-
C.
Arash Amel
Arash Amel is a British-Iranian screenwriter and producer known for writing biographical and historical dramas in Hollywood.
-
D.
Mehdi Mirza
Mehdi Mirza is a machine learning researcher known for his contributions to deep reinforcement learning and generative models.
-
E.
Reza Abbasi
Reza Abbasi was a prominent Safavid-era Persian painter renowned for his elegant single-figure miniatures and influential role in the Isfahan school of art.
- 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: Arsalan Jah Triple: [Mir Mahbub Ali Khan, mother, Arsalan Jah]
Generated description
Arsalan Jah was a royal consort associated with the Asaf Jahi dynasty of Hyderabad and the mother of Mir Mahbub Ali Khan, the sixth Nizam of Hyderabad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arsalan Jah Target entity description: Arsalan Jah was a royal consort associated with the Asaf Jahi dynasty of Hyderabad and the mother of Mir Mahbub Ali Khan, the sixth Nizam of Hyderabad.
-
A.
Sarmad Kashani
Sarmad Kashani was a 17th-century Persian-Armenian mystic, poet, and Sufi saint known for his unorthodox spirituality and eventual execution in Mughal India.
-
B.
Gobi Rahimi
Gobi Rahimi is a music video director best known for his work with Tupac Shakur during the 1990s West Coast hip-hop era.
-
C.
Arash Amel
Arash Amel is a British-Iranian screenwriter and producer known for writing biographical and historical dramas in Hollywood.
-
D.
Mehdi Mirza
Mehdi Mirza is a machine learning researcher known for his contributions to deep reinforcement learning and generative models.
-
E.
Reza Abbasi
Reza Abbasi was a prominent Safavid-era Persian painter renowned for his elegant single-figure miniatures and influential role in the Isfahan school of art.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb65a4e6c8190968192a24aad1b7d |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d22933d26c8190937e4cbdbd8209dc |
completed | April 5, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69d229a1abe08190bf28abfc69ce2d64 |
completed | April 5, 2026, 9:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d22a3b87c08190b486eb221bec3465 |
completed | April 5, 2026, 9:24 a.m. |
Created at: March 30, 2026, 8:45 p.m.