Triple
T20453622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boiling Point |
E501717
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Ray Panthaki
Ray Panthaki is a British actor, producer, and director known for his work in film and television, including prominent roles in projects like the intense kitchen drama "Boiling Point."
|
E1431271
|
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: Ray Panthaki | Statement: [Boiling Point, starring, Ray Panthaki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Panthaki Context triple: [Boiling Point, starring, Ray Panthaki]
-
A.
Alex Bhore
Alex Bhore is a musician best known as a former drummer of the American post-rock band This Will Destroy You.
-
B.
Ray Butani
Ray Butani is a quirky, ever-optimistic real estate agent and small-business owner in the Canadian sitcom "Schitt's Creek."
-
C.
Sam Joshi
Sam Joshi is an American politician who serves as the mayor of Edison Township, New Jersey.
-
D.
Keith Shankar
Keith Shankar is a central character in the dark comedy TV series "Black Monday," which satirically explores the events surrounding the 1987 stock market crash.
-
E.
Michael Bhaskar
Michael Bhaskar is a British writer, publisher, and technology theorist known for his work on the impact of digital innovation and artificial intelligence on society and the future.
- 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: Ray Panthaki Triple: [Boiling Point, starring, Ray Panthaki]
Generated description
Ray Panthaki is a British actor, producer, and director known for his work in film and television, including prominent roles in projects like the intense kitchen drama "Boiling Point."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ray Panthaki Target entity description: Ray Panthaki is a British actor, producer, and director known for his work in film and television, including prominent roles in projects like the intense kitchen drama "Boiling Point."
-
A.
Alex Bhore
Alex Bhore is a musician best known as a former drummer of the American post-rock band This Will Destroy You.
-
B.
Ray Butani
Ray Butani is a quirky, ever-optimistic real estate agent and small-business owner in the Canadian sitcom "Schitt's Creek."
-
C.
Sam Joshi
Sam Joshi is an American politician who serves as the mayor of Edison Township, New Jersey.
-
D.
Keith Shankar
Keith Shankar is a central character in the dark comedy TV series "Black Monday," which satirically explores the events surrounding the 1987 stock market crash.
-
E.
Michael Bhaskar
Michael Bhaskar is a British writer, publisher, and technology theorist known for his work on the impact of digital innovation and artificial intelligence on society and the future.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68d04ca4081909b428c31d16fca10 |
completed | April 20, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08840caccc819082423d0dae166082 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08854ba1bc8190854e106993681272 |
completed | May 16, 2026, 2:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0886140858819088f0b09a9903dada |
completed | May 16, 2026, 2:58 p.m. |
Created at: April 16, 2026, 11:32 a.m.