Triple

T33499338
Position Surface form Disambiguated ID Type / Status
Subject 24 (Indian TV series) E857946 entity
Predicate productionCompany P490 FINISHED
Object Anil Kapoor Film Company
Anil Kapoor Film Company is an Indian film and television production house founded by actor-producer Anil Kapoor, known for creating popular Hindi-language content.
E2052801 NE FINISHED

How this triple was built (2 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: Anil Kapoor Film Company | Statement: [24 (Indian TV series), productionCompany, Anil Kapoor Film Company]
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: Anil Kapoor Film Company
Triple: [24 (Indian TV series), productionCompany, Anil Kapoor Film Company]
Generated description
Anil Kapoor Film Company is an Indian film and television production house founded by actor-producer Anil Kapoor, known for creating popular Hindi-language content.

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_69f3497660508190a541826a81f7e9ab completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6e56e373481909502b961265cd68d completed May 3, 2026, 6:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3595c18a60819094e030855cd801cc completed June 19, 2026, 7:17 p.m.
NEDg Description generation batch_6a359711781c8190bf7f871a0c7f721e completed June 19, 2026, 7:22 p.m.
NED2 Entity disambiguation (via description) batch_6a3597bacc508190b38b5649af7960a9 completed June 19, 2026, 7:25 p.m.
Created at: May 1, 2026, 1:38 a.m.