Triple

T20351439
Position Surface form Disambiguated ID Type / Status
Subject Antareen E496019 entity
Predicate editedBy P1954 FINISHED
Object Renu Saluja 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: Renu Saluja | Statement: [Antareen, editedBy, Renu Saluja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renu Saluja
Context triple: [Antareen, editedBy, Renu Saluja]
  • A. Renu Saluja chosen
    Renu Saluja was a renowned Indian film editor celebrated for her influential work in parallel and mainstream Hindi cinema during the 1980s and 1990s.
  • B. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • C. Anita Yadav
    Anita Yadav is known as the wife of Ram Baran Yadav, the first President of Nepal.
  • D. Renu Khator
    Renu Khator is an Indian-American academic and higher education leader who serves as the longtime chancellor of the University of Houston System and a prominent advocate for urban research universities.
  • E. Gulmit Gojal
    Gulmit Gojal is a historic village and tourist destination in the Gojal Valley of Upper Hunza, Gilgit-Baltistan, Pakistan, known for its scenic mountain landscapes and Wakhi culture.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.