Triple

T5857206
Position Surface form Disambiguated ID Type / Status
Subject Marathi cinema E130183 entity
Predicate notableActress P7010 FINISHED
Object Reema Lagoo E401490 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: Reema Lagoo | Statement: [Marathi cinema, notableActress, Reema Lagoo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reema Lagoo
Context triple: [Marathi cinema, notableActress, Reema Lagoo]
  • A. Reema Lagoo chosen
    Reema Lagoo was a prominent Indian film, television, and theatre actress best known for playing iconic motherly roles in Hindi and Marathi cinema.
  • B. Persis Khambatta
    Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • C. Sonali Kulkarni
    Sonali Kulkarni is an acclaimed Indian actress known for her versatile performances across Marathi and Hindi cinema, as well as in international films.
  • D. Rashmi Patel
    Rashmi Patel is a personal name shared by multiple individuals, typically of Indian origin, and may refer to various professionals or public figures.
  • E. Salma Lakhani
    Salma Lakhani is a Canadian businesswoman and philanthropist who became the first Muslim and first South Asian to serve as a lieutenant governor in Canada.
  • 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_69c0084f3bb08190a7720f55f7aa4252 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0355755508190ab349cdcf0c8a58d completed March 22, 2026, 6:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603c7dac48190b742e9e5430b8bde completed March 27, 2026, 4:12 a.m.
Created at: March 22, 2026, 3:56 p.m.