Triple

T9794176
Position Surface form Disambiguated ID Type / Status
Subject Persis Khambatta E237677 entity
Predicate name P16 FINISHED
Object Persis Khambatta E237677 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: Persis Khambatta | Statement: [Persis Khambatta, name, Persis Khambatta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Persis Khambatta
Context triple: [Persis Khambatta, name, Persis Khambatta]
  • A. Persis Khambatta chosen
    Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • B. Sarita Khurana
    Sarita Khurana is a filmmaker and producer known for her work on culturally focused, immigrant-centered stories in film and television.
  • C. Sheila Dikshit
    Sheila Dikshit was a prominent Indian National Congress politician who served as the long-time Chief Minister of Delhi, overseeing significant urban development and governance reforms in the capital.
  • D. Beena Patel
    Beena Patel is an American health professional and public health consultant best known as the wife of comedian and political commentator Hasan Minhaj.
  • E. Reema Lagoo
    Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43bccfc81909b940b180fe26626 completed April 5, 2026, 2:09 a.m.
Created at: March 30, 2026, 8:28 p.m.