Triple

T19386817
Position Surface form Disambiguated ID Type / Status
Subject This Is Going to Hurt E484956 entity
Predicate producer P490 FINISHED
Object Nisha Parti 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: Nisha Parti | Statement: [This Is Going to Hurt, producer, Nisha Parti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nisha Parti
Context triple: [This Is Going to Hurt, producer, Nisha Parti]
  • A. Nisha Parti chosen
    Nisha Parti is a British film and television producer known for developing and producing acclaimed UK dramas and literary adaptations.
  • B. Dimple Yadav
    Dimple Yadav is an Indian politician and Member of Parliament associated with the Samajwadi Party, known for being the wife of former Uttar Pradesh Chief Minister Akhilesh Yadav and for her electoral prominence from Uttar Pradesh.
  • C. Anita Yadav
    Anita Yadav is known as the wife of Ram Baran Yadav, the first President of Nepal.
  • D. Kiran Sonia Sawar
    Kiran Sonia Sawar is a Scottish actress known for her work in television dramas and anthology series, including roles in productions like "Black Mirror" and "The Boy with the Topknot."
  • E. Kamla Advani
    Kamla Advani was the wife of Indian politician L. K. Advani and was known for maintaining a low public profile while supporting his long political career.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b418f148190972b7b46038bc744 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.