Triple

T18884201
Position Surface form Disambiguated ID Type / Status
Subject Prahlada E461915 entity
Predicate mother P120 FINISHED
Object Kayadhu NE NERFINISHED

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: Kayadhu | Statement: [Prahlada, mother, Kayadhu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kayadhu
Context triple: [Prahlada, mother, Kayadhu]
  • A. Kayadhu chosen
    Kayadhu is a figure in Hindu mythology known as the wife of the demon king Hiranyakashipu and the mother of the devotee Prahlada.
  • B. Marayoor
    Marayoor is a scenic village in Kerala, India, renowned for its natural sandalwood forests, prehistoric dolmens, and sugarcane farms near the Western Ghats.
  • C. Thenavattu
    Thenavattu is a 2008 Tamil-language action film starring Jiiva and Poonam Bajwa, directed by V. V. Kathir and known for its commercial mass-masala style.
  • D. Kakkanad
    Kakkanad is a rapidly developing suburban region of Kochi in Kerala, India, known as an administrative hub and major IT and industrial center.
  • E. Vadakkumkur
    Vadakkumkur was a small feudal kingdom in the Kerala region of India that later became part of the expanding Travancore state.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d3dcec8190a468162c6a4482f6 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.