Triple

T21979629
Position Surface form Disambiguated ID Type / Status
Subject Ramesh Powar E542801 entity
Predicate givenName P17 FINISHED
Object Ramesh 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: Ramesh | Statement: [Ramesh Powar, givenName, Ramesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramesh
Context triple: [Ramesh Powar, givenName, Ramesh]
  • A. Ramesh chosen
    Ramesh is the given first name of Sunny Balwani, the former president and chief operating officer of the health technology company Theranos.
  • B. Rakesh
    Rakesh is the birth name of Rick Parashar, the American record producer known for his work with bands like Pearl Jam and Temple of the Dog.
  • C. Suresh
    Suresh is a gifted but troubled young origami prodigy in the play "Animals Out of Paper," whose talent and emotional struggles drive much of the story’s exploration of grief, connection, and healing.
  • D. Rajesh
    Rajesh is a masculine given name of Indian origin commonly used across South Asia and in the Indian diaspora.
  • E. Rakesh Singh
    Rakesh Singh is an Indian politician from the Bharatiya Janata Party who serves as a Member of Parliament representing Jabalpur in the Lok Sabha.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1248bdd88819098bfeca550608f14 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:03 p.m.