Triple

T5725819
Position Surface form Disambiguated ID Type / Status
Subject Riddhi E126260 entity
Predicate honorific P301 FINISHED
Object Devi Riddhi E126260 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: Devi Riddhi | Statement: [Riddhi, honorific, Devi Riddhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Devi Riddhi
Context triple: [Riddhi, honorific, Devi Riddhi]
  • A. Riddhi chosen
    Riddhi is a Hindu goddess associated with prosperity and good fortune, traditionally regarded as one of the consorts of Lord Ganesha.
  • B. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • C. 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.
  • D. Divya
    Divya is a renowned Kannada novel by U. R. Ananthamurthy that explores complex social and psychological themes in mid-20th-century India.
  • E. Bhumika
    Bhumika is a critically acclaimed 1977 Indian Hindi-language film directed by Shyam Benegal, known for its powerful portrayal of a woman's struggle for identity and autonomy.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c025085f508190adf5d540bc8a5b1c completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a86eea0819090bf6f9952d8dcc9 completed March 22, 2026, 9:09 p.m.
Created at: March 22, 2026, 3:47 p.m.