Triple

T16235952
Position Surface form Disambiguated ID Type / Status
Subject Amisha Patel E394110 entity
Predicate coStarredWith P14987 FINISHED
Object Akshay Kumar E528625 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: Akshay Kumar | Statement: [Amisha Patel, coStarredWith, Akshay Kumar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akshay Kumar
Context triple: [Amisha Patel, coStarredWith, Akshay Kumar]
  • A. Akshay Kumar chosen
    Akshay Kumar is a prominent Indian film actor and producer, known for his action and comedy roles in Bollywood and his long-running, commercially successful career.
  • B. Akshay Venkatesh
    Akshay Venkatesh is an Indian-Australian mathematician renowned for his deep contributions to number theory, automorphic forms, and related areas, and is a recipient of the Fields Medal.
  • C. Akshaye Khanna
    Akshaye Khanna is an Indian film actor known for his versatile performances in Hindi cinema across both commercial hits and critically acclaimed dramas.
  • D. Aamir Khan
    Aamir Khan is a renowned Indian film actor, director, and producer known for his critically acclaimed and socially impactful movies in Bollywood.
  • E. Saif Ali Khan
    Saif Ali Khan is a prominent Indian film actor and producer known for his work in Hindi cinema and for being a member of the Pataudi royal family.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455abc608190ba3308c15c9e8a23 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bafb761881908e7a891ef390982a completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:04 a.m.