Triple

T17096433
Position Surface form Disambiguated ID Type / Status
Subject Gatotkaca E414862 entity
Predicate grandparent P2400 FINISHED
Object Kunti E116861 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: Kunti | Statement: [Gatotkaca, grandparent, Kunti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunti
Context triple: [Gatotkaca, grandparent, Kunti]
  • A. Kunti chosen
    Kunti is a prominent queen and matriarch in the Indian epic Mahabharata, best known as the mother of the Pandava princes.
  • B. Kaushalya
    Kaushalya is a queen of Ayodhya and the mother of Lord Rama in the ancient Indian epic Ramayana.
  • C. Rukmini
    Rukmini is a principal queen of the Hindu god Krishna, revered as an incarnation of the goddess Lakshmi and celebrated for her devotion and role in Krishna’s life.
  • D. Subhadrangi
    Subhadrangi is traditionally regarded as the mother of the Mauryan emperor Ashoka and is often identified in Buddhist texts as a queen of modest origins who became an important figure in his early life.
  • E. Hidimbi
    Hidimbi is a rakshasi (demoness) from the Indian epic Mahabharata who marries the Pandava prince Bhima and becomes the mother of the warrior Ghatotkacha.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfdc9c88190b4e75bbdf4105c1e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0139fbcbc08190be2a96d03daf0384 completed May 11, 2026, 2:07 a.m.
Created at: April 10, 2026, 5:35 a.m.