Triple

T20417667
Position Surface form Disambiguated ID Type / Status
Subject Ananthabhadram E500753 entity
Predicate backgroundScoreComposer P32102 FINISHED
Object Ramesh Narayan NE NERFINISHED

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: Ramesh Narayan | Statement: [Ananthabhadram, backgroundScoreComposer, Ramesh Narayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramesh Narayan
Context triple: [Ananthabhadram, backgroundScoreComposer, Ramesh Narayan]
  • A. Aravind Joshi
    Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
  • B. Vijay Joshi
    Vijay Joshi is an Indian economist known for his influential work on macroeconomic policy and development, particularly in the context of the Indian economy.
  • C. A. L. Ramesh
    A. L. Ramesh is an Indian film editor known for his work in Tamil cinema, including editing the acclaimed film "Subramaniapuram."
  • D. Raghuram Govind Rajan
    Raghuram Govind Rajan is an Indian economist and academic who served as the 23rd Governor of the Reserve Bank of India and is known for his influential work on financial crises and economic policy.
  • E. Ramakant Rath
    Ramakant Rath is an Indian poet and writer, regarded as one of the most prominent modernists in Odia literature.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ramesh Narayan
Target entity description: Ramesh Narayan is an Indian classical musician and film composer known for his work in Malayalam cinema.
  • A. Aravind Joshi
    Aravind Joshi was an Indian-American computer scientist and computational linguist known for pioneering work in formal grammar formalisms, particularly Tree Adjoining Grammars, and for foundational contributions to natural language processing.
  • B. Vijay Joshi
    Vijay Joshi is an Indian economist known for his influential work on macroeconomic policy and development, particularly in the context of the Indian economy.
  • C. A. L. Ramesh
    A. L. Ramesh is an Indian film editor known for his work in Tamil cinema, including editing the acclaimed film "Subramaniapuram."
  • D. Raghuram Govind Rajan
    Raghuram Govind Rajan is an Indian economist and academic who served as the 23rd Governor of the Reserve Bank of India and is known for his influential work on financial crises and economic policy.
  • E. Ramakant Rath
    Ramakant Rath is an Indian poet and writer, regarded as one of the most prominent modernists in Odia literature.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: backgroundScoreComposer
Context triple: [Ananthabhadram, backgroundScoreComposer, Ramesh Narayan]
  • A. backgroundComposition
    Indicates that one entity serves as the background or surrounding setting in which another entity is visually or contextually composed.
  • B. coComposer
    Indicates a relationship where two or more entities jointly compose a musical or artistic work together.
  • C. musicComposer chosen
    Indicates that one entity is the creator or writer of a piece of music associated with another entity.
  • D. hornComposition
    Indicates the material or substance that an entity’s horn is made of.
  • E. workComposer
    Indicates that one entity is the composer or creator of a musical or artistic work represented by the other entity.
  • F. None of above.

Provenance (3 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
PD Predicate disambiguation batch_69e5766df0008190a73c4f613c29678f completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:30 a.m.