Triple

T9459283
Position Surface form Disambiguated ID Type / Status
Subject Ravi Shankar E228099 entity
Predicate child P120 FINISHED
Object Anoushka Shankar
Anoushka Shankar is a renowned British-Indian sitar player and composer celebrated for her innovative blend of Indian classical music with global contemporary styles.
E801378 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: Anoushka Shankar | Statement: [Ravi Shankar, child, Anoushka Shankar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anoushka Shankar
Context triple: [Ravi Shankar, child, Anoushka Shankar]
  • A. Anoushka Ajith
    Anoushka Ajith is the daughter of prominent Indian Tamil film actor Ajith Kumar and his wife Shalini.
  • B. Swati Pandit
    Swati Pandit is an Indian-American figure best known as the wife of former Citigroup CEO Vikram Pandit.
  • C. Shubha Yagnik
    Shubha Yagnik is the daughter of renowned Indian playback singer Alka Yagnik.
  • D. Y. Ravi Shankar
    Y. Ravi Shankar is an Indian film producer best known as a co-founder of the prominent Telugu production company Mythri Movie Makers, which has backed several major commercial and critically acclaimed films.
  • E. Talvin Singh
    Talvin Singh is a British musician, producer, and tabla player known for pioneering the fusion of Indian classical music with electronic genres such as drum and bass and Asian Underground.
  • 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: Anoushka Shankar
Triple: [Ravi Shankar, child, Anoushka Shankar]
Generated description
Anoushka Shankar is a renowned British-Indian sitar player and composer celebrated for her innovative blend of Indian classical music with global contemporary styles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Anoushka Shankar
Target entity description: Anoushka Shankar is a renowned British-Indian sitar player and composer celebrated for her innovative blend of Indian classical music with global contemporary styles.
  • A. Anoushka Ajith
    Anoushka Ajith is the daughter of prominent Indian Tamil film actor Ajith Kumar and his wife Shalini.
  • B. Swati Pandit
    Swati Pandit is an Indian-American figure best known as the wife of former Citigroup CEO Vikram Pandit.
  • C. Shubha Yagnik
    Shubha Yagnik is the daughter of renowned Indian playback singer Alka Yagnik.
  • D. Y. Ravi Shankar
    Y. Ravi Shankar is an Indian film producer best known as a co-founder of the prominent Telugu production company Mythri Movie Makers, which has backed several major commercial and critically acclaimed films.
  • E. Talvin Singh
    Talvin Singh is a British musician, producer, and tabla player known for pioneering the fusion of Indian classical music with electronic genres such as drum and bass and Asian Underground.
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1228d7a488190b537db256f386786 completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d12395841c8190857de8a50ab6345c completed April 4, 2026, 2:43 p.m.
NED2 Entity disambiguation (via description) batch_69d1275bcbd88190a5742a9cf802425a completed April 4, 2026, 2:59 p.m.
Created at: March 30, 2026, 7:52 p.m.