Triple

T20351568
Position Surface form Disambiguated ID Type / Status
Subject Aandhi E496023 entity
Predicate editor P1954 FINISHED
Object Waman Bhonsle
Waman Bhonsle was a renowned Indian film editor celebrated for his influential work in Hindi cinema across several decades.
E1425073 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: Waman Bhonsle | Statement: [Aandhi, editor, Waman Bhonsle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waman Bhonsle
Context triple: [Aandhi, editor, Waman Bhonsle]
  • A. Anandrao Shinde
    Anandrao Shinde is an Indian politician known for serving as a Member of Parliament representing Maharashtra.
  • B. Ganpatrao Bhosle
    Ganpatrao Bhosle was the first husband of legendary Indian playback singer Asha Bhosle.
  • C. Appa Sahib Bhonsle
    Appa Sahib Bhonsle was a Maratha ruler of the Nagpur Bhonsle dynasty in the early 19th century, known for his involvement in the Third Anglo-Maratha War and subsequent conflicts with the British.
  • D. Shankar Rao Shinde
    Shankar Rao Shinde is an individual notable enough to be recognized as a prominent bearer of the surname Shinde.
  • E. Sushilkumar Shinde
    Sushilkumar Shinde is an Indian politician from the Indian National Congress who has served as Chief Minister of Maharashtra and as the Union Home Minister of 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: Waman Bhonsle
Triple: [Aandhi, editor, Waman Bhonsle]
Generated description
Waman Bhonsle was a renowned Indian film editor celebrated for his influential work in Hindi cinema across several decades.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waman Bhonsle
Target entity description: Waman Bhonsle was a renowned Indian film editor celebrated for his influential work in Hindi cinema across several decades.
  • A. Anandrao Shinde
    Anandrao Shinde is an Indian politician known for serving as a Member of Parliament representing Maharashtra.
  • B. Ganpatrao Bhosle
    Ganpatrao Bhosle was the first husband of legendary Indian playback singer Asha Bhosle.
  • C. Appa Sahib Bhonsle
    Appa Sahib Bhonsle was a Maratha ruler of the Nagpur Bhonsle dynasty in the early 19th century, known for his involvement in the Third Anglo-Maratha War and subsequent conflicts with the British.
  • D. Shankar Rao Shinde
    Shankar Rao Shinde is an individual notable enough to be recognized as a prominent bearer of the surname Shinde.
  • E. Sushilkumar Shinde
    Sushilkumar Shinde is an Indian politician from the Indian National Congress who has served as Chief Minister of Maharashtra and as the Union Home Minister of 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a086967aef88190b138be722f410e82 completed May 16, 2026, 12:56 p.m.
NEDg Description generation batch_6a0869f7b4208190858fdeae882e008d completed May 16, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a086a893f1c81909bc40e3c4db0e147 completed May 16, 2026, 1 p.m.
Created at: April 16, 2026, 11:24 a.m.