Triple

T19273303
Position Surface form Disambiguated ID Type / Status
Subject Ankur E481982 entity
Predicate leadActorDebutFilmFor P135394 FINISHED
Object Anant Nag NE NERFINISHED

How this triple was built (3 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: Anant Nag | Statement: [Ankur, leadActorDebutFilmFor, Anant Nag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anant Nag
Context triple: [Ankur, leadActorDebutFilmFor, Anant Nag]
  • A. Anant Nag chosen
    Anant Nag is a renowned Indian actor known primarily for his work in Kannada cinema, acclaimed for his versatile performances in both parallel and mainstream films.
  • B. Madan Babu
    Madan Babu is a computational biologist known for his influential work on gene regulation, protein networks, and systems biology.
  • C. Shashi Kaushik
    Shashi Kaushik is known as the wife of the late Indian actor, director, and producer Satish Kaushik.
  • D. Anup Kumar
    Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
  • E. Prakash Raj
    Prakash Raj is an acclaimed Indian actor, filmmaker, and producer known for his versatile performances across multiple South Indian film industries and Hindi cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: leadActorDebutFilmFor
Context triple: [Ankur, leadActorDebutFilmFor, Anant Nag]
  • A. filmDebutIn
    Indicates the first film in which a person appeared or participated, marking their debut in cinema.
  • B. featureFilmDebut
    Indicates that a work marks an entity’s first appearance or role in a feature-length film.
  • C. filmDebutActorForCharacter
    Indicates that an actor is making their first film appearance in the role of a specific character.
  • D. filmDebut
    Indicates the first film in which an entity (typically a person) appeared or participated, marking their initial entry into film work.
  • E. filmDebutInHollywoodFor
    Indicates that one entity made its first appearance or debut in Hollywood through the other entity (such as a specific film or role).
  • F. None of above. chosen

Provenance (4 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_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbba7758819081c1c78667c59c5e completed April 20, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69e4dd07a7208190afcd51ba1dc87c33 completed April 19, 2026, 1:47 p.m.
PDg Predicate description generation batch_69e4df51ac6c819091ce72b07790ffa6 completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 1:29 p.m.