Triple

T505776
Position Surface form Disambiguated ID Type / Status
Subject Jhumpa Lahiri E10499 entity
Predicate givenName P17 FINISHED
Object Nilanjana E63903 NE FINISHED

How this triple was built (2 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: Nilanjana | Statement: [Jhumpa Lahiri, givenName, Nilanjana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nilanjana
Context triple: [Jhumpa Lahiri, givenName, Nilanjana]
  • A. Nilanjana Sudeshna Lahiri chosen
    Nilanjana Sudeshna Lahiri, better known as Jhumpa Lahiri, is a Pulitzer Prize–winning author renowned for her fiction exploring Indian-American immigrant experiences and identity.
  • B. Pranhita
    Pranhita is a major river in central India that flows through the states of Maharashtra and Telangana before joining the Godavari River.
  • C. Ritu Banga
    Ritu Banga is an Indian-American businesswoman and co-founder of the talent advisory firm Zoomdojo, known also as the wife of Mastercard executive and World Bank president Ajay Banga.
  • D. Manjira
    Manjira is a major river in southern India that flows through the states of Maharashtra, Karnataka, and Telangana before joining the Godavari River.
  • E. Amara Namani
    Amara Namani is a young, resourceful Jaeger pilot and central protagonist in the science fiction film "Pacific Rim: Uprising."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a2e848adf881908e5e04f7af030093 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f14b2acc8190818e8a53eac69c54 completed Feb. 28, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a14c7d0481908368fb33ab14f4c6 completed March 1, 2026, 8:27 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.