Triple

T1410190
Position Surface form Disambiguated ID Type / Status
Subject Kartikeya E31785 entity
Predicate parent P120 FINISHED
Object Parvati E20132 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: Parvati | Statement: [Kartikeya, parent, Parvati]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parvati
Context triple: [Kartikeya, parent, Parvati]
  • A. Padma Parvati Lakshmi
    Padma Parvati Lakshmi is an Indian-American author, model, and television host best known for presenting the cooking competition show "Top Chef."
  • B. Devi chosen
    Devi is the supreme goddess in Hinduism, embodying the divine feminine power (Shakti) in its many forms such as Durga, Parvati, Lakshmi, and Saraswati.
  • C. Jagrani Devi
    Jagrani Devi was the mother of Indian revolutionary freedom fighter Chandrasekhar Azad.
  • D. Gayatri
    Gayatri is a highly revered Vedic poetic meter consisting of three lines of eight syllables each, widely used in Hindu sacred hymns and mantras.
  • E. goddess Mumbadevi
    Goddess Mumbadevi is a local Hindu deity revered as the patron goddess of Mumbai, with a historic temple in the city that is central to its cultural and religious identity.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3e0bfd08190a50820bc7585c28f completed March 1, 2026, 10:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace57be14881908d469d2b5333d6d5 completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.