Triple
T15576556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Mercury |
E374383
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Ronny Jhutti
Ronny Jhutti is a British actor known for his work in film and television, including roles in UK dramas and comedies.
|
E1164666
|
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: Ronny Jhutti | Statement: [Red Mercury, castMember, Ronny Jhutti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronny Jhutti Context triple: [Red Mercury, castMember, Ronny Jhutti]
-
A.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
B.
Manish Bhasin
Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
-
C.
Ali Fazal
Ali Fazal is an Indian actor known for his work in both Bollywood and international productions, including roles in films like "Victoria & Abdul" and the series "Mirzapur."
-
D.
Karan Soni
Karan Soni is an Indian-American actor best known for his comedic roles in film and television, including his recurring portrayal of the anxious taxi driver Dopinder in the Deadpool franchise.
-
E.
Rahul Khanna
Rahul Khanna is an Indian actor known for his work in Hindi films and television, often recognized for his nuanced performances and understated screen presence.
- 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: Ronny Jhutti Triple: [Red Mercury, castMember, Ronny Jhutti]
Generated description
Ronny Jhutti is a British actor known for his work in film and television, including roles in UK dramas and comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronny Jhutti Target entity description: Ronny Jhutti is a British actor known for his work in film and television, including roles in UK dramas and comedies.
-
A.
Vikrant Kapoor
Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
-
B.
Manish Bhasin
Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
-
C.
Ali Fazal
Ali Fazal is an Indian actor known for his work in both Bollywood and international productions, including roles in films like "Victoria & Abdul" and the series "Mirzapur."
-
D.
Karan Soni
Karan Soni is an Indian-American actor best known for his comedic roles in film and television, including his recurring portrayal of the anxious taxi driver Dopinder in the Deadpool franchise.
-
E.
Rahul Khanna
Rahul Khanna is an Indian actor known for his work in Hindi films and television, often recognized for his nuanced performances and understated screen presence.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e22c89081909b1ec0cd36a1ef45 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4978ec8190a57de5d9a2ec6653 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4d0678648190b61fbe79a60da8ec |
completed | May 9, 2026, 3:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4d9258148190b21201bb09e16999 |
completed | May 9, 2026, 3:06 p.m. |
Created at: April 10, 2026, 4:10 a.m.