Triple
T9429508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maulik Pancholy |
E227335
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sanjay and Craig
Sanjay and Craig is an animated television series on Nickelodeon that follows the misadventures of a boy and his talking snake best friend.
|
E799612
|
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: Sanjay and Craig | Statement: [Maulik Pancholy, notableWork, Sanjay and Craig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanjay and Craig Context triple: [Maulik Pancholy, notableWork, Sanjay and Craig]
-
A.
Jason Sanjay
Jason Sanjay is the son of Tamil film star Vijay, known to the public primarily through his father's prominence in Indian cinema.
-
B.
Danny Sapani
Danny Sapani is a British-Ghanaian actor known for his work in film, television, and theatre, including roles in projects like "Penny Dreadful," "Black Panther," and "Star Wars: The Last Jedi."
-
C.
Sanjay
Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
-
D.
Steven Craig
Steven Craig is best known as the former husband of acclaimed American actress Sally Field.
-
E.
Sanjay Reddy
Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
- 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: Sanjay and Craig Triple: [Maulik Pancholy, notableWork, Sanjay and Craig]
Generated description
Sanjay and Craig is an animated television series on Nickelodeon that follows the misadventures of a boy and his talking snake best friend.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanjay and Craig Target entity description: Sanjay and Craig is an animated television series on Nickelodeon that follows the misadventures of a boy and his talking snake best friend.
-
A.
Jason Sanjay
Jason Sanjay is the son of Tamil film star Vijay, known to the public primarily through his father's prominence in Indian cinema.
-
B.
Danny Sapani
Danny Sapani is a British-Ghanaian actor known for his work in film, television, and theatre, including roles in projects like "Penny Dreadful," "Black Panther," and "Star Wars: The Last Jedi."
-
C.
Sanjay
Sanjay is the given name of Sanjay Gandhi, an influential and controversial Indian politician and son of former Prime Minister Indira Gandhi.
-
D.
Steven Craig
Steven Craig is best known as the former husband of acclaimed American actress Sally Field.
-
E.
Sanjay Reddy
Sanjay Reddy is an Indian economist known for his work in development economics, poverty measurement, and global justice.
- 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_69ca8436ba308190903e470776d2d893 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7c94719c81909d7743a57c45e07f |
completed | April 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11038f7b88190bd6b895f5544c63e |
completed | April 4, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69d111a770c881909a2902d36cd7913c |
completed | April 4, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d112634fb48190b4c7e9d997d27928 |
completed | April 4, 2026, 1:30 p.m. |
Created at: March 30, 2026, 7:49 p.m.