Triple

T5204851
Position Surface form Disambiguated ID Type / Status
Subject Jagdish Bhagwati E117484 entity
Predicate givenName P17 FINISHED
Object Jagdish E500761 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: Jagdish | Statement: [Jagdish Bhagwati, givenName, Jagdish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jagdish
Context triple: [Jagdish Bhagwati, givenName, Jagdish]
  • A. Jagadish chosen
    Jagadish is the given name of Jagadish Chandra Bose, a pioneering Indian scientist known for his groundbreaking work in radio and microwave optics and plant physiology.
  • B. Harilal
    Harilal was the eldest son of Mahatma Gandhi, known for his troubled relationship with his father and his struggles with identity and faith.
  • C. Dhurjati
    Dhurjati was a prominent Telugu poet of the Vijayanagara Empire, renowned for his devotional works dedicated to Lord Shiva.
  • D. Damodar Rao
    Damodar Rao was the adopted son and heir of Rani Lakshmibai of Jhansi, a key figure in the events surrounding the Indian Rebellion of 1857.
  • E. Satya Nandan
    Satya Nandan was a Fijian diplomat and international lawyer renowned for his leading role in shaping the United Nations Convention on the Law of the Sea and in developing global ocean governance.
  • 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_69bd4463dd3c81909966123f20b79d57 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7a47c3c481909b49313f1bb0af0d completed March 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefca8a1c81908eec1baa65bb06a3 completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:47 p.m.