Triple

T8564986
Position Surface form Disambiguated ID Type / Status
Subject Jyothika E202780 entity
Predicate hasRelative P367 FINISHED
Object Nagma
Nagma is an Indian actress and politician known for her work across multiple regional film industries, including Hindi, Tamil, Telugu, and Bhojpuri cinema.
E742929 NE FINISHED

How this triple was built (4 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: Nagma | Statement: [Jyothika, hasRelative, Nagma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagma
Context triple: [Jyothika, hasRelative, Nagma]
  • A. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • B. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • C. Drymae
    Drymae is an alternative name form of the ancient Greek town Drymaea, historically located in the region of Phocis.
  • D. Shera
    Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
  • E. D'Lila
    D'Lila is one of the twin daughters of music mogul Sean "Diddy" Combs and the late model Kim Porter.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nagma
Triple: [Jyothika, hasRelative, Nagma]
Generated description
Nagma is an Indian actress and politician known for her work across multiple regional film industries, including Hindi, Tamil, Telugu, and Bhojpuri cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nagma
Target entity description: Nagma is an Indian actress and politician known for her work across multiple regional film industries, including Hindi, Tamil, Telugu, and Bhojpuri cinema.
  • A. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • B. Keila
    Keila is a small town in northern Estonia known for its historic church, scenic Keila River and waterfall, and role as a local administrative and transport hub.
  • C. Drymae
    Drymae is an alternative name form of the ancient Greek town Drymaea, historically located in the region of Phocis.
  • D. Shera
    Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
  • E. D'Lila
    D'Lila is one of the twin daughters of music mogul Sean "Diddy" Combs and the late model Kim Porter.
  • F. None of above. chosen

Provenance (5 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_69ca8327b0a881908606ff860713964d completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9d2331881909d92ddde90f580e9 completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce89677888819091dfda14ce6baef3 completed April 2, 2026, 3:21 p.m.
NEDg Description generation batch_69ce8c10d774819086437ffeeb1ef25d completed April 2, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_69ce8d0064fc819095058293e4229f25 completed April 2, 2026, 3:36 p.m.
Created at: March 30, 2026, 6:20 p.m.