Triple

T22076052
Position Surface form Disambiguated ID Type / Status
Subject C. Ramchandra E545524 entity
Predicate alsoKnownAs P39 FINISHED
Object Chitalkar
Chitalkar was the popular screen name of C. Ramchandra, a prominent Indian music director and occasional playback singer in Hindi cinema’s golden era.
E1516857 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: Chitalkar | Statement: [C. Ramchandra, alsoKnownAs, Chitalkar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chitalkar
Context triple: [C. Ramchandra, alsoKnownAs, Chitalkar]
  • A. Chavan
    Chavan is an Indian surname commonly associated with notable political and social figures, particularly in the state of Maharashtra.
  • B. Bhonsle
    The Bhonsle were a prominent Maratha royal dynasty best known for producing Chhatrapati Shivaji, founder of the Maratha Empire in western India.
  • C. Kulkarni
    Kulkarni is a traditional village-level official in the Maratha administrative system responsible for maintaining land and revenue records.
  • D. Gavankar
    Gavankar is the surname of Janina Gavankar, an American actress, musician, and filmmaker known for roles in television, film, and video games.
  • E. Sarodar
    Sarodar is a village in Gujarat, India, known primarily as the birthplace of the famed cricketer and ruler Kumar Shri Ranjitsinhji.
  • 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: Chitalkar
Triple: [C. Ramchandra, alsoKnownAs, Chitalkar]
Generated description
Chitalkar was the popular screen name of C. Ramchandra, a prominent Indian music director and occasional playback singer in Hindi cinema’s golden era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chitalkar
Target entity description: Chitalkar was the popular screen name of C. Ramchandra, a prominent Indian music director and occasional playback singer in Hindi cinema’s golden era.
  • A. Chavan
    Chavan is an Indian surname commonly associated with notable political and social figures, particularly in the state of Maharashtra.
  • B. Bhonsle
    The Bhonsle were a prominent Maratha royal dynasty best known for producing Chhatrapati Shivaji, founder of the Maratha Empire in western India.
  • C. Kulkarni
    Kulkarni is a traditional village-level official in the Maratha administrative system responsible for maintaining land and revenue records.
  • D. Gavankar
    Gavankar is the surname of Janina Gavankar, an American actress, musician, and filmmaker known for roles in television, film, and video games.
  • E. Sarodar
    Sarodar is a village in Gujarat, India, known primarily as the birthplace of the famed cricketer and ruler Kumar Shri Ranjitsinhji.
  • 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.