Triple
T7694247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shah Rukh Khan |
E174331
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Aryan Khan
Aryan Khan is an Indian star kid and aspiring filmmaker best known as the son of Bollywood superstar Shah Rukh Khan.
|
E685130
|
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: Aryan Khan | Statement: [Shah Rukh Khan, child, Aryan Khan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aryan Khan Context triple: [Shah Rukh Khan, child, Aryan Khan]
-
A.
Shia Irfan
Shia Irfan is a spiritual and philosophical tradition within Shia Islam that emphasizes inner knowledge, mystical insight, and esoteric interpretation of religious teachings.
-
B.
Rajat Monga
Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
-
C.
Amar Khalil
Amar Khalil is an American R&B singer best known for his work with the influential Oakland-based group Tony! Toni! Toné!.
-
D.
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.
-
E.
Sachit Mehra
Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
- 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: Aryan Khan Triple: [Shah Rukh Khan, child, Aryan Khan]
Generated description
Aryan Khan is an Indian star kid and aspiring filmmaker best known as the son of Bollywood superstar Shah Rukh Khan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aryan Khan Target entity description: Aryan Khan is an Indian star kid and aspiring filmmaker best known as the son of Bollywood superstar Shah Rukh Khan.
-
A.
Shia Irfan
Shia Irfan is a spiritual and philosophical tradition within Shia Islam that emphasizes inner knowledge, mystical insight, and esoteric interpretation of religious teachings.
-
B.
Rajat Monga
Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
-
C.
Amar Khalil
Amar Khalil is an American R&B singer best known for his work with the influential Oakland-based group Tony! Toni! Toné!.
-
D.
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.
-
E.
Sachit Mehra
Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
- 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_69c6995966348190939e6c37ba272c06 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702459f988190bf7087bf51d5317f |
completed | March 27, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4fda81881908144cebdd2696e63 |
completed | March 29, 2026, 5:13 a.m. |
| NEDg | Description generation | batch_69c8b5a1f758819086f4f4a2b6221369 |
completed | March 29, 2026, 5:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8b649e91c8190b18f8caacb584327 |
completed | March 29, 2026, 5:19 a.m. |
Created at: March 27, 2026, 4:02 p.m.