Triple

T22076081
Position Surface form Disambiguated ID Type / Status
Subject C. Ramchandra E545524 entity
Predicate associatedAct P37 FINISHED
Object Bharat Bhushan
Bharat Bhushan was a prominent Indian film actor and producer best known for his leading roles in classic Hindi cinema of the 1950s and 1960s, particularly in musical and devotional films.
E1516868 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: Bharat Bhushan | Statement: [C. Ramchandra, associatedAct, Bharat Bhushan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bharat Bhushan
Context triple: [C. Ramchandra, associatedAct, Bharat Bhushan]
  • A. Yudhajit
    Yudhajit is a lesser-known prince in the Ramayana, recognized as the brother of Queen Kaikeyi and thus an uncle of Bharata.
  • B. Rishabhdeo
    Rishabhdeo is a prominent Jain pilgrimage town in Rajasthan, India, known for its ancient temple dedicated to Lord Rishabhdev.
  • C. जयद्रथ
    जयद्रथ महाभारत का एक पात्र था, जो कुरुक्षेत्र युद्ध में कौरव पक्ष का राजा और अर्जुन के पुत्र अभिमन्यु की मृत्यु के लिए कुख्यात माना जाता है।
  • D. Anant Varman
    Anant Varman is an actor who appeared in the 2022 Indian film "Living."
  • E. Chandidas
    Chandidas was a medieval Bengali poet and Vaishnava saint renowned for his devotional and humanist lyrics that deeply influenced Bengali literature and spiritual thought.
  • 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: Bharat Bhushan
Triple: [C. Ramchandra, associatedAct, Bharat Bhushan]
Generated description
Bharat Bhushan was a prominent Indian film actor and producer best known for his leading roles in classic Hindi cinema of the 1950s and 1960s, particularly in musical and devotional films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bharat Bhushan
Target entity description: Bharat Bhushan was a prominent Indian film actor and producer best known for his leading roles in classic Hindi cinema of the 1950s and 1960s, particularly in musical and devotional films.
  • A. Yudhajit
    Yudhajit is a lesser-known prince in the Ramayana, recognized as the brother of Queen Kaikeyi and thus an uncle of Bharata.
  • B. Rishabhdeo
    Rishabhdeo is a prominent Jain pilgrimage town in Rajasthan, India, known for its ancient temple dedicated to Lord Rishabhdev.
  • C. जयद्रथ
    जयद्रथ महाभारत का एक पात्र था, जो कुरुक्षेत्र युद्ध में कौरव पक्ष का राजा और अर्जुन के पुत्र अभिमन्यु की मृत्यु के लिए कुख्यात माना जाता है।
  • D. Anant Varman
    Anant Varman is an actor who appeared in the 2022 Indian film "Living."
  • E. Chandidas
    Chandidas was a medieval Bengali poet and Vaishnava saint renowned for his devotional and humanist lyrics that deeply influenced Bengali literature and spiritual thought.
  • 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_69e11e3523488190badd54b5d580c00d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128b2bf60819082d38e671f160b0f completed April 28, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80b7a98c8190909b31034aa04039 completed May 18, 2026, 3 a.m.
NEDg Description generation batch_6a0a81f51dbc8190a49506d7536d165b completed May 18, 2026, 3:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0a82c10ce48190806498221cb55e7b completed May 18, 2026, 3:08 a.m.
Created at: April 16, 2026, 8:28 p.m.