Triple

T11112460
Position Surface form Disambiguated ID Type / Status
Subject Samskara E262793 entity
Predicate hasCharacter P2308 FINISHED
Object Chandri
Chandri is a pivotal female character in the Indian novel "Samskara," known for challenging social and religious norms within a conservative Brahmin community.
 E905883 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: Chandri | Statement: [Samskara, hasCharacter, Chandri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chandri
Context triple: [Samskara, hasCharacter, Chandri]
  • A. Chandar
    Chandar is a variant form of the Indian given name Chandra, which is associated with the moon and often used for both males and females.
  • B. Chanda
    Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
  • C. Chandrila
    Chandrila is a Core Worlds planet in the Star Wars universe known for its peaceful, democratic traditions and as the home of notable political and Resistance figures.
  • D. Derisha
    Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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: Chandri
Triple: [Samskara, hasCharacter, Chandri]
Generated description
Chandri is a pivotal female character in the Indian novel "Samskara," known for challenging social and religious norms within a conservative Brahmin community.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chandri
Target entity description: Chandri is a pivotal female character in the Indian novel "Samskara," known for challenging social and religious norms within a conservative Brahmin community.
  • A. Chandar
    Chandar is a variant form of the Indian given name Chandra, which is associated with the moon and often used for both males and females.
  • B. Chanda
    Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
  • C. Chandrila
    Chandrila is a Core Worlds planet in the Star Wars universe known for its peaceful, democratic traditions and as the home of notable political and Resistance figures.
  • D. Derisha
    Derisha is a lexical form or word used in a linguistic context, likely representing one member of a pair of related terms alongside Perisha.
  • E. Nindra
    Nindra is a village and mandal in the Tirupati district of Andhra Pradesh, India.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79aa523588190a25d241ccc6a9679 completed April 9, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d78c71c81908671a93ac5196c0a completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e43771eaec8190be9bb709723931e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.