Triple

T4512014
Position Surface form Disambiguated ID Type / Status
Subject Agni E102074 entity
Predicate parent P120 FINISHED
Object Aditi E449900 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: Aditi | Statement: [Agni, parent, Aditi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aditi
Context triple: [Agni, parent, Aditi]
  • A. Aditi chosen
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • B. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • C. Divya
    Divya is a renowned Kannada novel by U. R. Ananthamurthy that explores complex social and psychological themes in mid-20th-century India.
  • D. Sanjna
    Sanjna is a figure in Hindu mythology known as the wife of the sun god Surya and the daughter of the god of justice, often associated with themes of devotion and transformation.
  • E. Shravika
    Shravika is the term in Jainism for a female lay follower who observes religious vows and practices while living a household life.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd571412788190a374abd1e05519e4 completed March 20, 2026, 2:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacce0f10819092e92c144627344b completed March 20, 2026, 8:23 p.m.
Created at: March 20, 2026, 1:01 p.m.