Triple

T23231634
Position Surface form Disambiguated ID Type / Status
Subject Siddhartha E581171 entity
Predicate character P662 FINISHED
Object Kamala 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: Kamala | Statement: [Siddhartha, character, Kamala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamala
Context triple: [Siddhartha, character, Kamala]
  • A. Kamala
    Kamala is the given name of Kamala Harris, the 49th vice president of the United States and the first woman, first Black American, and first South Asian American to hold the office.
  • B. Kamala chosen
    Kamala is a renowned Marathi play by Vijay Tendulkar that critiques the commodification of women through the story of a journalist who buys a tribal woman to expose human trafficking.
  • C. Kamala
    Kamala is a coastal resort town on the west coast of Thailand’s Phuket Island, known for its beach, tourism, and relaxed atmosphere.
  • D. Kamala
    Kamala is a Hindu goddess associated with prosperity and the tantric form of Lakshmi, revered as one of the ten Mahavidyas.
  • E. Kamala Nandiwadal
    Kamala Nandiwadal is a supporting character in the teen comedy series "Never Have I Ever," portrayed as Devi Vishwakumar’s academically gifted and traditionally minded cousin navigating life between Indian and American cultures.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1923325a08190a529da687de53489 completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.