Triple
T16183397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hum Hain Rahi Pyar Ke |
E392739
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Master Sharokh
Master Sharokh is an Indian child actor best known for his role in the popular 1993 Hindi film "Hum Hain Rahi Pyar Ke."
|
E1199389
|
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: Master Sharokh | Statement: [Hum Hain Rahi Pyar Ke, starring, Master Sharokh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Master Sharokh Context triple: [Hum Hain Rahi Pyar Ke, starring, Master Sharokh]
-
A.
Shaqir
Shaqir is an American basketball player and social media personality best known as the son of NBA legend Shaquille O'Neal.
-
B.
Al Shux
Al Shux is a British record producer and songwriter best known for his work on hit tracks like Jay-Z and Alicia Keys' "Empire State of Mind" and its sequel.
-
C.
Bakhawan
Bakhawan is a coastal barangay of the municipality of Daanbantayan in Cebu, Philippines.
-
D.
Hakeem
Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
-
E.
Master Mahmut
Master Mahmut is a character from Orhan Pamuk’s novel *The Red-Haired Woman*, serving as a key figure in the protagonist’s formative experiences and the story’s exploration of fate, guilt, and paternal relationships.
- 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: Master Sharokh Triple: [Hum Hain Rahi Pyar Ke, starring, Master Sharokh]
Generated description
Master Sharokh is an Indian child actor best known for his role in the popular 1993 Hindi film "Hum Hain Rahi Pyar Ke."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Master Sharokh Target entity description: Master Sharokh is an Indian child actor best known for his role in the popular 1993 Hindi film "Hum Hain Rahi Pyar Ke."
-
A.
Shaqir
Shaqir is an American basketball player and social media personality best known as the son of NBA legend Shaquille O'Neal.
-
B.
Al Shux
Al Shux is a British record producer and songwriter best known for his work on hit tracks like Jay-Z and Alicia Keys' "Empire State of Mind" and its sequel.
-
C.
Bakhawan
Bakhawan is a coastal barangay of the municipality of Daanbantayan in Cebu, Philippines.
-
D.
Hakeem
Hakeem is a male given name most famously associated with Hall of Fame NBA center Hakeem Olajuwon.
-
E.
Master Mahmut
Master Mahmut is a character from Orhan Pamuk’s novel *The Red-Haired Woman*, serving as a key figure in the protagonist’s formative experiences and the story’s exploration of fate, guilt, and paternal relationships.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205ef39081908da383abdebc2ccc |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff03400481908e66db8cf0213c15 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0000ceba648190ac5ecefd34f10d4e |
completed | May 10, 2026, 3:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00013fdb1c8190add653fc1cf30e44 |
completed | May 10, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:02 a.m.