Triple
T16447565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mohammad Khodabanda |
E399470
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Hamza Mirza
Hamza Mirza was a Safavid prince of Iran, known primarily as a son of Shah Mohammad Khodabanda during the late 16th century.
|
E1214491
|
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: Hamza Mirza | Statement: [Mohammad Khodabanda, child, Hamza Mirza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamza Mirza Context triple: [Mohammad Khodabanda, child, Hamza Mirza]
-
A.
Daniyal Mirza
Daniyal Mirza was a Mughal prince of the 16th century, notable as one of Emperor Akbar's sons who played a role in the empire's dynastic politics.
-
B.
Khalil Mirza
Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
-
C.
Hasnat Khan
Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
-
D.
Muhammad Muazzam
Muhammad Muazzam, better known as Bahadur Shah I, was the seventh Mughal emperor of India who briefly ruled the empire from 1707 to 1712 following the death of his father Aurangzeb.
-
E.
Shaheen Khan
Shaheen Khan is a British actress best known for her role as the protagonist’s mother in the hit film "Bend It Like Beckham."
- 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: Hamza Mirza Triple: [Mohammad Khodabanda, child, Hamza Mirza]
Generated description
Hamza Mirza was a Safavid prince of Iran, known primarily as a son of Shah Mohammad Khodabanda during the late 16th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamza Mirza Target entity description: Hamza Mirza was a Safavid prince of Iran, known primarily as a son of Shah Mohammad Khodabanda during the late 16th century.
-
A.
Daniyal Mirza
Daniyal Mirza was a Mughal prince of the 16th century, notable as one of Emperor Akbar's sons who played a role in the empire's dynastic politics.
-
B.
Khalil Mirza
Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
-
C.
Hasnat Khan
Hasnat Khan is a British-Pakistani heart surgeon best known for his romantic relationship with Diana, Princess of Wales.
-
D.
Muhammad Muazzam
Muhammad Muazzam, better known as Bahadur Shah I, was the seventh Mughal emperor of India who briefly ruled the empire from 1707 to 1712 following the death of his father Aurangzeb.
-
E.
Shaheen Khan
Shaheen Khan is a British actress best known for her role as the protagonist’s mother in the hit film "Bend It Like Beckham."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cddfc3c8190919b49f74b7e8e1a |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4b738881908f8a205466397f33 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a0050751be48190a76ab998b544ac5a |
completed | May 10, 2026, 9:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0050d99f7c81909a5d5582294790f7 |
completed | May 10, 2026, 9:33 a.m. |
Created at: April 10, 2026, 5:10 a.m.