Triple

T9970215
Position Surface form Disambiguated ID Type / Status
Subject Certain Women E196183 entity
Predicate producer P490 FINISHED
Object Anish Savjani E115983 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: Anish Savjani | Statement: [Certain Women, producer, Anish Savjani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anish Savjani
Context triple: [Certain Women, producer, Anish Savjani]
  • A. Anish Savjani chosen
    Anish Savjani is an American film producer known for his work on acclaimed independent films, including the thriller "Green Room."
  • B. Bhavit Sheth
    Bhavit Sheth is an Indian entrepreneur best known as the co-founder of Dream Sports, the parent company of fantasy sports platform Dream11.
  • C. Kartikeya Sarabhai
    Kartikeya Sarabhai is an Indian environmental educator and sustainability advocate, known for his leadership in environmental education and for being the son of space scientist Vikram Sarabhai.
  • D. Harish Patel
    Harish Patel is an Indian character actor known for his extensive work in Hindi cinema and television, as well as for appearing in international projects such as Marvel’s Eternals.
  • E. Rishub Jain
    Rishub Jain is a researcher who contributed as a co-author to the influential 2021 Nature paper by Jumper et al. on the AlphaFold protein structure prediction system.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23dca14d081909573e91a576921c9 completed April 5, 2026, 10:47 a.m.
Created at: March 30, 2026, 8:48 p.m.