Triple

T14080428
Position Surface form Disambiguated ID Type / Status
Subject Lost Highway E338850 entity
Predicate producer P490 FINISHED
Object Deepak Nayar E1027878 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: Deepak Nayar | Statement: [Lost Highway, producer, Deepak Nayar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deepak Nayar
Context triple: [Lost Highway, producer, Deepak Nayar]
  • A. Deepak Nayar chosen
    Deepak Nayar is a film producer known for his work on independent and genre films, including the horror-comedy "Tucker & Dale vs. Evil."
  • B. Madhur Mittal
    Madhur Mittal is an Indian actor best known for his role as Salim Malik in the Academy Award–winning film "Slumdog Millionaire."
  • C. Rajeev Samant
    Rajeev Samant is an Indian entrepreneur best known as the pioneering founder of Sula Vineyards, one of India’s largest and most influential wine producers.
  • D. Sanjay Jain
    Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
  • E. Sunil Nayar
    Sunil Nayar is a television producer and writer best known for his work on American drama series such as "Body of Proof" and "Revenge."
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdefe88b481908b3dca1f019e7809 completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:21 p.m.