Triple

T37755449
Position Surface form Disambiguated ID Type / Status
Subject Dil Sambhal Jaa Zara E941097 entity
Predicate director P255 FINISHED
Object Abhijit Das
Abhijit Das is an Indian television director best known for directing the Hindi drama series "Dil Sambhal Jaa Zara."
E2250268 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: Abhijit Das | Statement: [Dil Sambhal Jaa Zara, director, Abhijit Das]
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: Abhijit Das
Triple: [Dil Sambhal Jaa Zara, director, Abhijit Das]
Generated description
Abhijit Das is an Indian television director best known for directing the Hindi drama series "Dil Sambhal Jaa Zara."

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_69f76ee1f3a88190834e6c8af99bccc9 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fbaef41d2c819092088560765a62ed completed May 6, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a4117dd215c81909d412082440d7d09 completed June 28, 2026, 12:47 p.m.
NEDg Description generation batch_6a41185e9c2881908cbe2d0b8cf20961 completed June 28, 2026, 12:49 p.m.
NED2 Entity disambiguation (via description) batch_6a41228fee448190b092ddeb1c00325d completed June 28, 2026, 1:33 p.m.
Created at: May 3, 2026, 4:19 p.m.