Triple

T8375314
Position Surface form Disambiguated ID Type / Status
Subject Sanjay Suri E197561 entity
Predicate notableWork P4 FINISHED
Object Anubhav
Anubhav is a Hindi-language film featuring actor Sanjay Suri in a significant role.
E729691 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: Anubhav | Statement: [Sanjay Suri, notableWork, Anubhav]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anubhav
Context triple: [Sanjay Suri, notableWork, Anubhav]
  • A. Bhavish
    Bhavish is an Indian entrepreneur best known as the co-founder and CEO of the ride-hailing company Ola Cabs.
  • B. Savyasachi
    Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
  • C. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • D. Aniruddha
    Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
  • E. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • 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: Anubhav
Triple: [Sanjay Suri, notableWork, Anubhav]
Generated description
Anubhav is a Hindi-language film featuring actor Sanjay Suri in a significant role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anubhav
Target entity description: Anubhav is a Hindi-language film featuring actor Sanjay Suri in a significant role.
  • A. Bhavish
    Bhavish is an Indian entrepreneur best known as the co-founder and CEO of the ride-hailing company Ola Cabs.
  • B. Savyasachi
    Savyasachi is a celebrated epithet of the Mahabharata hero Arjuna, highlighting his legendary ambidextrous skill in archery and combat.
  • C. Vivek
    Vivek is a common Indian male given name, notably borne by entrepreneur and NBA team owner Vivek Ranadivé.
  • D. Aniruddha
    Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
  • E. Nishant
    Nishant is a critically acclaimed 1975 Indian parallel cinema film directed by Shyam Benegal that explores themes of feudal oppression and social injustice in rural India.
  • 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_69ca82f56730819080cec5d991c76f4c completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80bf6b8081909b98762b1f900bef completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde7e7e7ac819084e82a98c4c1249e completed April 2, 2026, 3:52 a.m.
NEDg Description generation batch_69cdebf944008190b7e758ac59257e22 completed April 2, 2026, 4:09 a.m.
NED2 Entity disambiguation (via description) batch_69cdeccedf4081909cab853ee1ff1b82 completed April 2, 2026, 4:13 a.m.
Created at: March 30, 2026, 6:01 p.m.