Triple
T18572296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raffles Institution |
E453901
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object |
Hady Mirza
Hady Mirza is a Singaporean singer and songwriter best known for winning the second season of Singapore Idol and the first Asian Idol competition.
|
E1331341
|
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: Hady Mirza | Statement: [Raffles Institution, hasAlumnus, Hady Mirza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hady Mirza Context triple: [Raffles Institution, hasAlumnus, Hady Mirza]
-
A.
Mehdi Mirza
Mehdi Mirza is a machine learning researcher known for his contributions to deep reinforcement learning and generative models.
-
B.
Naheed Mirza
Naheed Mirza was the wife of Iskander Mirza, the first President of Pakistan.
-
C.
Khalil Mirza
Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
-
D.
Hamza Mirza
Hamza Mirza was a Safavid prince of Iran, known primarily as a son of Shah Mohammad Khodabanda during the late 16th century.
-
E.
Anis Kaimkhani
Anis Kaimkhani is a Pakistani politician and co-founder of the Pak Sarzameen Party, known for his earlier leadership role in the Muttahida Qaumi Movement (MQM).
- 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: Hady Mirza Triple: [Raffles Institution, hasAlumnus, Hady Mirza]
Generated description
Hady Mirza is a Singaporean singer and songwriter best known for winning the second season of Singapore Idol and the first Asian Idol competition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hady Mirza Target entity description: Hady Mirza is a Singaporean singer and songwriter best known for winning the second season of Singapore Idol and the first Asian Idol competition.
-
A.
Mehdi Mirza
Mehdi Mirza is a machine learning researcher known for his contributions to deep reinforcement learning and generative models.
-
B.
Naheed Mirza
Naheed Mirza was the wife of Iskander Mirza, the first President of Pakistan.
-
C.
Khalil Mirza
Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
-
D.
Hamza Mirza
Hamza Mirza was a Safavid prince of Iran, known primarily as a son of Shah Mohammad Khodabanda during the late 16th century.
-
E.
Anis Kaimkhani
Anis Kaimkhani is a Pakistani politician and co-founder of the Pak Sarzameen Party, known for his earlier leadership role in the Muttahida Qaumi Movement (MQM).
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53b032488819098de683bb5c42c4b |
completed | April 19, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04f886f2e88190bf01061cb793c0ab |
completed | May 13, 2026, 10:17 p.m. |
| NEDg | Description generation | batch_6a04f9511eb08190952be765862cd1ab |
completed | May 13, 2026, 10:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04f9dd338881908b300bab7947f736 |
completed | May 13, 2026, 10:23 p.m. |
Created at: April 10, 2026, 11:43 a.m.