Triple

T4958604
Position Surface form Disambiguated ID Type / Status
Subject Vandana Shiva E111347 entity
Predicate givenName P17 FINISHED
Object Vandana E111347 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: Vandana | Statement: [Vandana Shiva, givenName, Vandana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vandana
Context triple: [Vandana Shiva, givenName, Vandana]
  • A. Vandana chosen
    Vandana is the first name of Vandana Shiva, an Indian scholar, environmental activist, and advocate of ecofeminism and sustainable agriculture.
  • B. Sudha
    Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
  • 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. Nandana
    Nandana is a person known primarily as the sibling of Nanda, a figure mentioned in historical and/or cultural contexts.
  • E. Kumudavathi
    Kumudavathi is a river in the Indian state of Karnataka that serves as a tributary of the Arkavathi River.
  • 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_69bd4418390c8190b7e9766a2512ce55 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71d957cc8190b82fdd1ca61924bf completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba512f1881909e9bf062fe416ac8 completed March 21, 2026, 3:33 p.m.
Created at: March 20, 2026, 1:32 p.m.