Triple

T22433227
Position Surface form Disambiguated ID Type / Status
Subject Lootera E554548 entity
Predicate producer P490 FINISHED
Object Madhu Mantena 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: Madhu Mantena | Statement: [Lootera, producer, Madhu Mantena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madhu Mantena
Context triple: [Lootera, producer, Madhu Mantena]
  • A. Madhu Mantena chosen
    Madhu Mantena is an Indian film producer and entrepreneur known for backing several successful Hindi and regional films and co-founding the talent management company KWAN.
  • B. Neeli Bendapudi
    Neeli Bendapudi is an Indian-American academic and higher education leader who became the first woman and first person of color to serve as president of Pennsylvania State University.
  • C. Muktha Srinivasan
    Muktha Srinivasan was a prominent Indian film producer and director in Tamil cinema, known for backing influential and critically acclaimed films.
  • D. Sitara Ghattamaneni
    Sitara Ghattamaneni is the daughter of Telugu film star Mahesh Babu and has gained public attention in India as a popular star kid and social media personality.
  • E. Rohini Hattangadi
    Rohini Hattangadi is an Indian actress acclaimed for her work in theatre, film, and television, notably for her portrayal of Kasturba Gandhi in the film "Gandhi."
  • 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_69e11e5010e48190ae1e9c9db9697637 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a3320448190ae3931062599116e completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.