Triple

T18884286
Position Surface form Disambiguated ID Type / Status
Subject Kayadhu E461917 entity
Predicate relatedTo P37 FINISHED
Object Holika 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: Holika | Statement: [Kayadhu, relatedTo, Holika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holika
Context triple: [Kayadhu, relatedTo, Holika]
  • A. Holika chosen
    Holika is a demoness from Hindu mythology, known for her failed attempt to kill her devout nephew Prahlada by fire and for being central to the legend behind the Holi festival.
  • B. Mandodari
    Mandodari is a revered queen in the Hindu epic Ramayana, known as the wise and virtuous wife of the demon king Ravana.
  • C. Hudra
    The Hudra is a principal liturgical book of the Syriac tradition, containing prayers, hymns, and rites used throughout the liturgical year.
  • D. Mahishya
    Mahishya is a prominent agrarian and artisan community from Bengal, historically influential in regional society, economy, and social reform movements.
  • E. Bholath
    Bholath is a small town in the Kapurthala district of the Indian state of Punjab, known primarily as a local administrative and market center for surrounding rural areas.
  • 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.