Triple

T21109493
Position Surface form Disambiguated ID Type / Status
Subject Mollywood E520135 entity
Predicate hasNotableActor P17435 FINISHED
Object Nivin Pauly
Nivin Pauly is a popular Indian film actor and producer best known for his leading roles in contemporary Malayalam cinema.
E1468768 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: Nivin Pauly | Statement: [Mollywood, hasNotableActor, Nivin Pauly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nivin Pauly
Context triple: [Mollywood, hasNotableActor, Nivin Pauly]
  • A. Neha Dhupia
    Neha Dhupia is an Indian actress and former Miss India who has appeared in numerous Bollywood films and television shows.
  • B. Bela Malhotra
    Bela Malhotra is a witty, sex-positive aspiring comedy writer and one of the central student protagonists in the TV series "The Sex Lives of College Girls."
  • C. Sobhita Dhulipala
    Sobhita Dhulipala is an Indian actress and former model known for her work in Hindi cinema and streaming series such as "Made in Heaven."
  • D. Kajal Aggarwal
    Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
  • E. Divya Katdare
    Divya Katdare is a central character on the television series "Royal Pains," known as a skilled and poised physician assistant who works closely with concierge doctor Hank Lawson in the Hamptons.
  • 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: Nivin Pauly
Triple: [Mollywood, hasNotableActor, Nivin Pauly]
Generated description
Nivin Pauly is a popular Indian film actor and producer best known for his leading roles in contemporary Malayalam cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nivin Pauly
Target entity description: Nivin Pauly is a popular Indian film actor and producer best known for his leading roles in contemporary Malayalam cinema.
  • A. Neha Dhupia
    Neha Dhupia is an Indian actress and former Miss India who has appeared in numerous Bollywood films and television shows.
  • B. Bela Malhotra
    Bela Malhotra is a witty, sex-positive aspiring comedy writer and one of the central student protagonists in the TV series "The Sex Lives of College Girls."
  • C. Sobhita Dhulipala
    Sobhita Dhulipala is an Indian actress and former model known for her work in Hindi cinema and streaming series such as "Made in Heaven."
  • D. Kajal Aggarwal
    Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
  • E. Divya Katdare
    Divya Katdare is a central character on the television series "Royal Pains," known as a skilled and poised physician assistant who works closely with concierge doctor Hank Lawson in the Hamptons.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7210110a48190a6359b6732f6293d completed April 21, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_6a096db285b081909a67cb19039bed34 completed May 17, 2026, 7:26 a.m.
NEDg Description generation batch_6a096e5c14c48190a6fecb4171ac290b completed May 17, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_6a096eb033c88190ad2a5279d292e448 completed May 17, 2026, 7:30 a.m.
Created at: April 16, 2026, 2:54 p.m.