Triple

T19634090
Position Surface form Disambiguated ID Type / Status
Subject Tom B. Brown E471343 entity
Predicate coAuthorWith P398 FINISHED
Object Sandhini Agarwal 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: Sandhini Agarwal | Statement: [Tom B. Brown, coAuthorWith, Sandhini Agarwal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandhini Agarwal
Context triple: [Tom B. Brown, coAuthorWith, Sandhini Agarwal]
  • A. Sandhini Agarwal chosen
    Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
  • B. Asha Hooda
    Asha Hooda is an Indian public figure best known as the wife of former Haryana Chief Minister Bhupinder Singh Hooda and for her involvement in social and political circles in the state.
  • C. Neetu Singh
    Neetu Singh is a renowned Indian actress best known for her work in Hindi films of the 1970s and 1980s and for her later return to cinema alongside her husband Rishi Kapoor.
  • D. Geetika Jain
    Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
  • E. Pallavi Sharda
    Pallavi Sharda is an Australian-Indian actress and classical dancer known for her work in both Bollywood and international films, including the 2021 live-action/animated film "Tom & Jerry."
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64104ff2881908fec49b7fba5a2e6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.